rowid,run.accession,experiment.accession,sample.accession,study.accession,bioproject,study.title,study.alias,study.type,study.abstract,study.attributes,study.PMIDs,sample.description,sample.title,sample.alias,sample.centername,sample.attributes,GEOsample.title,GEOsample.dataprocessing,GEOsample.source,GEOsample.treatmentprotocol,GEOsample.extractprotocol,GEOsample.growthprotocol,GEOsample.characteristics,GEOsample.accession,experiment.title,experiment.alias,experiment.library_name,experiment.design_description,experiment.library_construction_protocol,experiment.attributes,experiment.library_strategy,experiment.library_source,experiment.library_selection,experiment.library_layout,experiment.platform,experiment.instrument_model,experiment.spot_descriptor,experiment.study_ref,run.title,run.attributes,run.filename,run.semantic_name,run.total_bases,run.total_spots,run.alias,run.read_lengths,run.base_counts,run.r1_length,run.r2_length,run.r3_length,run.r4_length,run.Acount,run.Ccount,run.Gcount,run.Tcount,run.Ncount,run.experiment,run.pool_member,submission.accession,submission.srasource,submission.bioprojectsource,seqdetective.n_mates,seqdetective.mapping_rate.mate1,seqdetective.mapping_rate.mate2,seqdetective.nofeature_rate.mate1,seqdetective.nofeature_rate.mate2,seqdetective.sparsity.mate1,seqdetective.sparsity.mate2,seqdetective.pos_strand_rate.mate1,seqdetective.pos_strand_rate.mate2,seqdetective.readlen.mate1,seqdetective.readlen.mate2,seqdetective.judgement.mate1,seqdetective.judgement.mate2,seqdetective.judgement.reason,platform_family,instrument_generation,read_bias,selection_class,prep_kit,sc_or_bulk,tech_class,technology,tech_variant,submission.bioprojectsource.country,earliest_date,devstage_curation,devstage_curation_coarse,tissue_curation,tissue_curation_coarse
14,DRR334977,DRX323973,DRS217313,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 3,SAMD00422597,,sample name:rRNA mock community 28 degrees rep 3|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422597,DRX323973,t28 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422597,,,,3791170746.0,37701921.0,DRR334977,0:100.56 1:0,A:967477491;C:926887571;G:898697642;T:998107868;N:174,100,0,,,967477491,926887571,898697642,998107868,174,DRX323973,DRS217313,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.31527,,0.06446,,0.88844,,0.62118,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
15,DRR334976,DRX323972,DRS217312,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 2,SAMD00422596,,sample name:rRNA mock community 28 degrees rep 2|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422596,DRX323972,t28 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422596,,,,2801693695.0,27860658.0,DRR334976,0:100.56 1:0,A:700189496;C:702936549;G:679920984;T:718646067;N:599,100,0,,,700189496,702936549,679920984,718646067,599,DRX323972,DRS217312,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.43508,,0.08819,,0.85859,,0.69447,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
16,DRR334975,DRX323971,DRS217311,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 1,SAMD00422595,,sample name:rRNA mock community 28 degrees rep 1|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422595,DRX323971,t28 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422595,,,,3148691934.0,31307464.0,DRR334975,0:100.57 1:0,A:785000734;C:791315678;G:766594599;T:805780465;N:458,100,0,,,785000734,791315678,766594599,805780465,458,DRX323971,DRS217311,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.37139,,0.09061,,0.94065,,0.74047,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
17,DRR334974,DRX323970,DRS217310,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 3,SAMD00422594,,sample name:rRNA mock community 19 degrees rep 3|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422594,DRX323970,t19 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422594,,,,2856186273.0,28400524.0,DRR334974,0:100.57 1:0,A:695685787;C:733754277;G:715270279;T:711475544;N:386,100,0,,,695685787,733754277,715270279,711475544,386,DRX323970,DRS217310,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.48152,,0.10933,,0.87105,,0.7287,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
18,DRR334973,DRX323969,DRS217309,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 2,SAMD00422593,,sample name:rRNA mock community 19 degrees rep 2|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422593,DRX323969,t19 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422593,,,,3199929804.0,31816971.0,DRR334973,0:100.57 1:0,A:777149590;C:825478743;G:804835148;T:792466124;N:199,100,0,,,777149590,825478743,804835148,792466124,199,DRX323969,DRS217309,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.4418,,0.10282,,0.89706,,0.74667,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
19,DRR334972,DRX323968,DRS217308,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 1,SAMD00422592,,sample name:rRNA mock community 19 degrees rep 1|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422592,DRX323968,t19 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422592,,,,3658675391.0,36374718.0,DRR334972,0:100.58 1:0,A:879342063;C:954687406;G:929537615;T:895107890;N:417,100,0,,,879342063,954687406,929537615,895107890,417,DRX323968,DRS217308,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.49439,,0.11691,,0.88239,,0.73925,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
20,DRR334971,DRX323967,DRS217307,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 3,SAMD00422591,,sample name:rRNA mock community 10 degrees rep 3|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422591,DRX323967,t10 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422591,,,,3017524690.0,30006334.0,DRR334971,0:100.56 1:0,A:771967717;C:738814269;G:712866126;T:793876235;N:343,100,0,,,771967717,738814269,712866126,793876235,343,DRX323967,DRS217307,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.33157,,0.07363,,0.9093,,0.73422,,100,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
21,DRR334970,DRX323966,DRS217306,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 2,SAMD00422590,,sample name:rRNA mock community 10 degrees rep 2|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422590,DRX323966,t10 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422590,,,,3115915184.0,30982336.0,DRR334970,0:100.57 1:0,A:765727966;C:794741415;G:771082024;T:784363609;N:170,100,0,,,765727966,794741415,771082024,784363609,170,DRX323966,DRS217306,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.45458,,0.10504,,0.89357,,0.749,,100,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
22,DRR334969,DRX323965,DRS217305,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 1,SAMD00422589,,sample name:rRNA mock community 10 degrees rep 1|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422589,DRX323965,t10 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422589,,,,3206657309.0,31883532.0,DRR334969,0:100.57 1:0,A:792874386;C:814578518;G:787469614;T:811734581;N:210,100,0,,,792874386,814578518,787469614,811734581,210,DRX323965,DRS217305,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.40156,,0.09664,,0.92898,,0.74114,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
23,DRR334968,DRX323964,DRS217304,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 28 degrees rep 3,SAMD00422588,,sample name:mRNA mock community 28 degrees rep 3|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:28|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422588,DRX323964,m28 3 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422588,,,,3157078356.0,31416275.0,DRR334968,0:100.49 1:0,A:816263259;C:752748024;G:759884392;T:828182261;N:420,100,0,,,816263259,752748024,759884392,828182261,420,DRX323964,DRS217304,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.64888,,0.01832,,0.73996,,0.46811,,99,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
24,DRR334967,DRX323963,DRS217303,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 28 degrees rep 2,SAMD00422587,,sample name:mRNA mock community 28 degrees rep 2|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:28|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422587,DRX323963,m28 2 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422587,,,,3155807651.0,31404635.0,DRR334967,0:100.49 1:0,A:819014350;C:749873295;G:756284406;T:830635394;N:206,100,0,,,819014350,749873295,756284406,830635394,206,DRX323963,DRS217303,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.76742,,0.02238,,0.72427,,0.47376,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
25,DRR334966,DRX323962,DRS217302,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 28 degrees rep 1,SAMD00422586,,sample name:mRNA mock community 28 degrees rep 1|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:28|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422586,DRX323962,m28 1 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422586,,,,2589772286.0,25765782.0,DRR334966,0:100.51 1:0,A:679223577;C:610675892;G:617869465;T:682003195;N:157,100,0,,,679223577,610675892,617869465,682003195,157,DRX323962,DRS217302,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.42984,,0.03367,,0.73555,,0.49223,,100,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
26,DRR334965,DRX323961,DRS217318,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 19 degrees rep 3,SAMD00422602,,sample name:mRNA mock community 19 degrees rep 3|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:19|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422602,DRX323961,m19 3 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422602,,,,3124746628.0,31095367.0,DRR334965,0:100.49 1:0,A:821891547;C:734660854;G:739230475;T:828963220;N:532,100,0,,,821891547,734660854,739230475,828963220,532,DRX323961,DRS217318,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.72881,,0.03264,,0.69449,,0.47416,,99,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
27,DRR334964,DRX323960,DRS217317,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 19 degrees rep 2,SAMD00422601,,sample name:mRNA mock community 19 degrees rep 2|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:19|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422601,DRX323960,m19 2 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422601,,,,3171661466.0,31561473.0,DRR334964,0:100.49 1:0,A:836793307;C:742872021;G:750053514;T:841942389;N:235,100,0,,,836793307,742872021,750053514,841942389,235,DRX323960,DRS217317,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.63153,,0.03639,,0.69027,,0.48494,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
28,DRR334963,DRX323959,DRS217316,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 19 degrees rep 1,SAMD00422600,,sample name:mRNA mock community 19 degrees rep 1|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:19|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422600,DRX323959,m19 1 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422600,,,,2916453082.0,29023768.0,DRR334963,0:100.48 1:0,A:761416880;C:692014182;G:696272089;T:766749729;N:202,100,0,,,761416880,692014182,696272089,766749729,202,DRX323959,DRS217316,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.71651,,0.03406,,0.68696,,0.47496,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
29,DRR334962,DRX323958,DRS217315,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 10 degrees rep 3,SAMD00422599,,sample name:mRNA mock community 10 degrees rep 3|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:10|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422599,DRX323958,m10 3 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422599,,,,2600103192.0,25872833.0,DRR334962,0:100.50 1:0,A:668944597;C:625686885;G:631010166;T:674461210;N:334,100,0,,,668944597,625686885,631010166,674461210,334,DRX323958,DRS217315,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.57077,,0.02949,,0.71918,,0.47633,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
30,DRR334961,DRX323957,DRS217314,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 10 degrees rep 2,SAMD00422598,,sample name:mRNA mock community 10 degrees rep 2|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:10|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422598,DRX323957,m10 2 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422598,,,,2608660833.0,25958804.0,DRR334961,0:100.49 1:0,A:683370128;C:615324906;G:621209484;T:688756167;N:148,100,0,,,683370128,615324906,621209484,688756167,148,DRX323957,DRS217314,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.63764,,0.04316,,0.69656,,0.48579,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
31,DRR334960,DRX323956,DRS217301,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,mRNA metatranscriptomic sequences from mock communities consist of five model species,mRNA mock community at 10 degrees rep 1,SAMD00422585,,sample name:mRNA mock community 10 degrees rep 1|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:10|treatment:mRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422585,DRX323956,m10 1 mRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,PolyA,SINGLE,ILLUMINA,NextSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,DRP008001,NextSeq 2000 sequencing of SAMD00422585,,,,2879915507.0,28651533.0,DRR334960,0:100.52 1:0,A:761972464;C:675761096;G:678969165;T:763212637;N:145,100,0,,,761972464,675761096,678969165,763212637,145,DRX323956,DRS217301,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.47851,,0.05671,,0.72622,,0.49269,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,poly_a,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined
9717,ERR3842002,ERX3854564,ERS4268611,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4Ei,SAMEA6504165,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:05:06Z|ENA LAST UPDATE:2020 01 27T16:04:35Z|External Id:SAMEA6504165|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:05:06Z|INSDC last update:2020 01 27T16:04:35Z|INSDC status:public|Submitter Id:Shield 4Ei|common name:zebrafish|sample name:Shield 4Ei|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 17:26:02:557 2,Shield 4Ei LSU,OTHER,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,10915827408.0,143629308.0,ena RUN Computational Biology Unit 27 01 2020 17:26:02:557 2,0:76,A:3900515347;C:2409375725;G:3041696977;T:1564127293;N:112066,76,,,,3900515347,2409375725,3041696977,1564127293,112066,ERX3854564,ERS4268611,ERA2359340,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.64398,,0.40944,,0.98817,,0.59337,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9718,ERR3842001,ERX3854563,ERS4268611,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4Ei,SAMEA6504165,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:05:06Z|ENA LAST UPDATE:2020 01 27T16:04:35Z|External Id:SAMEA6504165|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:05:06Z|INSDC last update:2020 01 27T16:04:35Z|INSDC status:public|Submitter Id:Shield 4Ei|common name:zebrafish|sample name:Shield 4Ei|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 17:26:02:557 1,Shield 4Ei SSU,OTHER,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,7154041880.0,94132130.0,ena RUN Computational Biology Unit 27 01 2020 17:26:02:557 1,0:76,A:2939474250;C:1489083073;G:1922522149;T:802890185;N:72223,76,,,,2939474250,1489083073,1922522149,802890185,72223,ERX3854563,ERS4268611,ERA2359340,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.4369,,0.25417,,0.9867,,0.60047,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9719,ERR3842000,ERX3854562,ERS4268611,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4Ei,SAMEA6504165,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:05:06Z|ENA LAST UPDATE:2020 01 27T16:04:35Z|External Id:SAMEA6504165|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:05:06Z|INSDC last update:2020 01 27T16:04:35Z|INSDC status:public|Submitter Id:Shield 4Ei|common name:zebrafish|sample name:Shield 4Ei|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 10,Shield 4Ei,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1435748376.0,18891426.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 10,0:76,A:489056518;C:372290023;G:393663734;T:180723629;N:14472,76,,,,489056518,372290023,393663734,180723629,14472,ERX3854562,ERS4268611,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.11942,,0.03394,,0.98971,,0.62271,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9720,ERR3841999,ERX3854561,ERS3556006,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 3,SAMEA5752547,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752547|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:10|common name:zebrafish|dev stage:Shield|sample name:10|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 9,Shield 3,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1168482976.0,15374776.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 9,0:76,A:516070340;C:238363428;G:268806793;T:145231087;N:11328,76,,,,516070340,238363428,268806793,145231087,11328,ERX3854561,ERS3556006,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.22586,,0.10275,,0.97281,,0.47683,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9721,ERR3841998,ERX3854560,ERS3556007,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4150NT,SAMEA5752548,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752548|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:11|common name:zebrafish|dev stage:Shield|sample name:11|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 8,Shield 150NT,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1188343980.0,15636105.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 8,0:76,A:580658556;C:223116826;G:260847322;T:123709681;N:11595,76,,,,580658556,223116826,260847322,123709681,11595,ERX3854560,ERS3556007,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.27037,,0.13972,,0.97392,,0.39459,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9722,ERR3841997,ERX3854559,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 7,Shield 1,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1278891444.0,16827519.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 7,0:76,A:571738369;C:256385478;G:295145281;T:155610082;N:12234,76,,,,571738369,256385478,295145281,155610082,12234,ERX3854559,ERS3556004,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.23116,,0.11137,,0.97932,,0.45978,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9723,ERR3841996,ERX3854558,ERS3556001,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 3,SAMEA5752542,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752542|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:5|common name:zebrafish|dev stage:Sphere|sample name:5|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 6,Sphere 3,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1439954368.0,18946768.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 6,0:76,A:669362698;C:280496524;G:316727778;T:173353505;N:13863,76,,,,669362698,280496524,316727778,173353505,13863,ERX3854558,ERS3556001,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.26155,,0.12068,,0.96915,,0.45719,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9724,ERR3841995,ERX3854557,ERS3556000,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 2,SAMEA5752541,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752541|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:4|common name:zebrafish|dev stage:Sphere|sample name:4|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 5,Sphere 2,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1592272200.0,20950950.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 5,0:76,A:757507948;C:308394094;G:342142775;T:184211881;N:15502,76,,,,757507948,308394094,342142775,184211881,15502,ERX3854557,ERS3556000,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.22483,,0.10923,,0.97646,,0.49458,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9725,ERR3841994,ERX3854556,ERS3555999,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 1,SAMEA5752540,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752540|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:3|common name:zebrafish|dev stage:Sphere|sample name:3|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 4,Sphere 1,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1332363676.0,17531101.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 4,0:76,A:529354355;C:299445923;G:318745973;T:184804260;N:13165,76,,,,529354355,299445923,318745973,184804260,13165,ERX3854556,ERS3555999,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.21197,,0.0829,,0.98196,,0.55753,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9726,ERR3841993,ERX3854555,ERS3555998,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 2,SAMEA5752539,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752539|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:2|common name:zebrafish|dev stage:64 cell|sample name:2|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 3,64 cell 3,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1579307816.0,20780366.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 3,0:76,A:589876602;C:380048242;G:392473318;T:216893826;N:15828,76,,,,589876602,380048242,392473318,216893826,15828,ERX3854555,ERS3555998,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.15411,,0.04564,,0.97883,,0.55376,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9727,ERR3841992,ERX3854554,ERS3556003,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 4Ei 10,SAMEA5752544,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752544|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:7|common name:zebrafish|dev stage:64 cell|sample name:7|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:406 2,64 cell 4Ei,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1213585480.0,15968230.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 2,0:76,A:548456563;C:244465528;G:271963808;T:148687764;N:11817,76,,,,548456563,244465528,271963808,148687764,11817,ERX3854554,ERS3556003,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.21973,,0.10926,,0.97419,,0.44348,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9728,ERR3841991,ERX3854553,ERS3555997,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 1,SAMEA5752538,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752538|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:1|common name:zebrafish|dev stage:64 cell|sample name:1|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 27 01 2020 16:24:36:405 1,64 cell 1,OTHER,RNA Seq,,RNA-Seq,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2020 02 14,,,1494930944.0,19670144.0,ena RUN Computational Biology Unit 27 01 2020 16:24:36:406 1,0:76,A:543017836;C:366974203;G:367027373;T:217896401;N:15131,76,,,,543017836,366974203,367027373,217896401,15131,ERX3854553,ERS3555997,ERA2359305,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.2544,,0.08957,,0.96568,,0.55681,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9729,ERR3489881,ERX3511296,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 33,Shield 1 F20,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,975578636.0,12836561.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 33,0:76,A:398325549;C:237563934;G:230721299;T:108957698;N:10156,76,,,,398325549,237563934,230721299,108957698,10156,ERX3511296,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.33102,,0.19766,,0.99918,,0.12812,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9730,ERR3489880,ERX3511295,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 32,Shield 1 F19,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,931166668.0,12252193.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 32,0:76,A:271081669;C:253947035;G:272354427;T:133774815;N:8722,76,,,,271081669,253947035,272354427,133774815,8722,ERX3511295,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.15598,,0.10707,,0.99902,,0.47314,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9731,ERR3489879,ERX3511294,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 31,Shield 1 F18,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1506513268.0,19822543.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 31,0:76,A:493273515;C:456544968;G:391677033;T:165002559;N:15193,76,,,,493273515,456544968,391677033,165002559,15193,ERX3511294,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.01562,,0.0053,,0.99908,,0.8127,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9732,ERR3489878,ERX3511293,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 30,Shield 1 F17,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1259456496.0,16571796.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 30,0:76,A:471473123;C:333726472;G:302016190;T:152228002;N:12709,76,,,,471473123,333726472,302016190,152228002,12709,ERX3511293,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.18339,,0.12544,,0.99928,,0.22368,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9733,ERR3489877,ERX3511292,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 29,Shield 1 F16,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1364615872.0,17955472.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 29,0:76,A:539462776;C:341141880;G:314571683;T:169426048;N:13485,76,,,,539462776,341141880,314571683,169426048,13485,ERX3511292,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.11663,,0.07319,,0.99939,,0.25377,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9734,ERR3489876,ERX3511291,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 28,Shield 1 F15,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,952605888.0,12534288.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 28,0:76,A:414133320;C:219437277;G:207418049;T:111607418;N:9824,76,,,,414133320,219437277,207418049,111607418,9824,ERX3511291,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.17603,,0.10972,,0.99935,,0.13311,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9735,ERR3489875,ERX3511290,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 27,Shield 1 F14,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,870952628.0,11459903.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 27,0:76,A:357710338;C:221475453;G:191231014;T:100526675;N:9148,76,,,,357710338,221475453,191231014,100526675,9148,ERX3511290,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.1248,,0.06422,,0.99896,,0.34819,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9736,ERR3489874,ERX3511289,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 26,Shield 1 F13,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,981672620.0,12916745.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 26,0:76,A:434153198;C:223317075;G:198260771;T:125932145;N:9431,76,,,,434153198,223317075,198260771,125932145,9431,ERX3511289,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.44603,,0.25602,,0.99874,,0.18074,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9737,ERR3489873,ERX3511288,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 25,Shield 1 F12,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1304618128.0,17166028.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 25,0:76,A:651341516;C:270458496;G:243929520;T:138874830;N:13766,76,,,,651341516,270458496,243929520,138874830,13766,ERX3511288,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.64293,,0.38159,,0.99886,,0.07313,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9738,ERR3489872,ERX3511287,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 24,Shield 1 F10,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1336115948.0,17580473.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 24,0:76,A:608634206;C:295943144;G:286494431;T:145029697;N:14470,76,,,,608634206,295943144,286494431,145029697,14470,ERX3511287,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.68758,,0.47517,,0.99898,,0.02301,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9739,ERR3489871,ERX3511286,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 23,Shield 1 F9,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,1434402492.0,18873717.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 23,0:76,A:658705664;C:297967081;G:295595736;T:182118632;N:15379,76,,,,658705664,297967081,295595736,182118632,15379,ERX3511286,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.74246,,0.44235,,0.99701,,0.03112,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9740,ERR3489870,ERX3511285,ERS3556007,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4150NT,SAMEA5752548,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752548|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:11|common name:zebrafish|dev stage:Shield|sample name:11|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 22,Shield 4150NT LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 24,,,24063208094.0,159358994.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 22,0:151,A:7153064588;C:5242791119;G:8513736630;T:3152547276;N:1068481,151,,,,7153064588,5242791119,8513736630,3152547276,1068481,ERX3511285,ERS3556007,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.81267,,0.27138,,0.99868,,0.91938,,151,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9741,ERR3489869,ERX3511284,ERS3556007,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 4150NT,SAMEA5752548,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752548|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:11|common name:zebrafish|dev stage:Shield|sample name:11|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 21,Shield 4150NT SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 24,,,14987998619.0,99258269.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 21,0:151,A:4578051806;C:2616328922;G:5914185813;T:1878780090;N:651988,151,,,,4578051806,2616328922,5914185813,1878780090,651988,ERX3511284,ERS3556007,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.77096,,0.5278,,0.99833,,0.42635,,151,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9742,ERR3489868,ERX3511283,ERS3556003,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 4Ei 10,SAMEA5752544,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752544|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:7|common name:zebrafish|dev stage:64 cell|sample name:7|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 20,64 cell 4Ei 10 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,5928054796.0,78000721.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 20,0:76,A:2109854905;C:1377083508;G:1616166285;T:824889630;N:60468,76,,,,2109854905,1377083508,1616166285,824889630,60468,ERX3511283,ERS3556003,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.61525,,0.45233,,0.99379,,0.57373,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9743,ERR3489867,ERX3511282,ERS3556003,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 4Ei 10,SAMEA5752544,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752544|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:7|common name:zebrafish|dev stage:64 cell|sample name:7|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 19,64 cell 4Ei 10 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,9772604780.0,128586905.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 19,0:76,A:3901301079;C:2223067879;G:2553338016;T:1094797648;N:100158,76,,,,3901301079,2223067879,2553338016,1094797648,100158,ERX3511282,ERS3556003,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.52103,,0.25046,,0.9861,,0.64575,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9744,ERR3489866,ERX3511281,ERS3556002,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 4Ei 0.1,SAMEA5752543,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752543|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:6|common name:zebrafish|dev stage:64 cell|sample name:6|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 18,64 cell 4Ei 0.1 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 09 26,,,6730725680.0,88562180.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 18,0:76,A:3805722011;C:1188715051;G:1382258076;T:353814168;N:216374,76,,,,3805722011,1188715051,1382258076,353814168,216374,ERX3511281,ERS3556002,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.61922,,0.37217,,0.99527,,0.29148,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9745,ERR3489865,ERX3511280,ERS3556002,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 4Ei 0.1,SAMEA5752543,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752543|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:6|common name:zebrafish|dev stage:64 cell|sample name:6|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 17,64 cell 4Ei 0.1 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 09 26,,,10616304872.0,139688222.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 17,0:76,A:4717003484;C:2600725234;G:2586105174;T:712124440;N:346540,76,,,,4717003484,2600725234,2586105174,712124440,346540,ERX3511280,ERS3556002,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.30908,,0.08252,,0.94683,,0.69548,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9746,ERR3489864,ERX3511279,ERS3556006,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 3,SAMEA5752547,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752547|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:10|common name:zebrafish|dev stage:Shield|sample name:10|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 16,Shield 3 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,11777220072.0,154963422.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 16,0:76,A:3368038444;C:3190496935;G:3529701152;T:1688766119;N:217422,76,,,,3368038444,3190496935,3529701152,1688766119,217422,ERX3511279,ERS3556006,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.70681,,0.18846,,0.99332,,0.71978,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9747,ERR3489863,ERX3511278,ERS3556006,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 3,SAMEA5752547,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752547|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:10|common name:zebrafish|dev stage:Shield|sample name:10|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 15,Shield 3 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,7920419952.0,104216052.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 15,0:76,A:2990167185;C:1767708808;G:2104830363;T:1057568560;N:145036,76,,,,2990167185,1767708808,2104830363,1057568560,145036,ERX3511278,ERS3556006,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.5052,,0.30841,,0.99129,,0.60948,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9748,ERR3489862,ERX3511277,ERS3556005,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 2,SAMEA5752546,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752546|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:9|common name:zebrafish|dev stage:Shield|sample name:9|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 14,Shield 2 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,9775297004.0,128622329.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 14,0:76,A:4750565405;C:2540992255;G:1698817649;T:784832634;N:89061,76,,,,4750565405,2540992255,1698817649,784832634,89061,ERX3511277,ERS3556005,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.74003,,0.5616,,0.99855,,0.03607,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9749,ERR3489861,ERX3511276,ERS3556005,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 2,SAMEA5752546,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752546|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:9|common name:zebrafish|dev stage:Shield|sample name:9|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 13,Shield 2 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,8210103300.0,108027675.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 13,0:76,A:3300825043;C:2576709678;G:1707115198;T:625376255;N:77126,76,,,,3300825043,2576709678,1707115198,625376255,77126,ERX3511276,ERS3556005,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.2787,,0.17583,,0.99752,,0.50171,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9750,ERR3489860,ERX3511275,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 12,Shield 1 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,2437679936.0,32074736.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 12,0:76,A:764355184;C:710492003;G:664031460;T:298777374;N:23915,76,,,,764355184,710492003,664031460,298777374,23915,ERX3511275,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.0406,,0.02417,,0.99908,,0.61299,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9751,ERR3489859,ERX3511274,ERS3556004,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Shield 1,SAMEA5752545,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752545|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:8|common name:zebrafish|dev stage:Shield|sample name:8|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 11,Shield 1 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,3157243376.0,41542676.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 11,0:76,A:1443205052;C:715251024;G:633421305;T:365333650;N:32345,76,,,,1443205052,715251024,633421305,365333650,32345,ERX3511274,ERS3556004,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.47643,,0.27944,,0.99896,,0.11464,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Gastrula,Embryo,Undetermined,Embryo Imprecise
9752,ERR3489858,ERX3511273,ERS3556001,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 3,SAMEA5752542,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752542|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:5|common name:zebrafish|dev stage:Sphere|sample name:5|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 10,Sphere 3 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,2740392724.0,36057799.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 10,0:76,A:1790452280;C:354001675;G:431182140;T:164697730;N:58899,76,,,,1790452280,354001675,431182140,164697730,58899,ERX3511273,ERS3556001,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.87154,,0.5323,,0.99793,,0.02983,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9753,ERR3489857,ERX3511272,ERS3556001,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 3,SAMEA5752542,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752542|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:5|common name:zebrafish|dev stage:Sphere|sample name:5|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 9,Sphere 3 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,6277242192.0,82595292.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 9,0:76,A:3129446012;C:1311888416;G:1369035262;T:466745503;N:126999,76,,,,3129446012,1311888416,1369035262,466745503,126999,ERX3511272,ERS3556001,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.65637,,0.35975,,0.9936,,0.24734,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9754,ERR3489856,ERX3511271,ERS3556000,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 2,SAMEA5752541,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752541|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:4|common name:zebrafish|dev stage:Sphere|sample name:4|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:424 8,Sphere 2 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 24,,,6679993476.0,87894651.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 8,0:76,A:3113787833;C:1255798935;G:1750515950;T:559763997;N:126761,76,,,,3113787833,1255798935,1750515950,559763997,126761,ERX3511271,ERS3556000,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.66287,,0.41208,,0.99602,,0.17083,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9755,ERR3489855,ERX3511270,ERS3556000,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 2,SAMEA5752541,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752541|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:4|common name:zebrafish|dev stage:Sphere|sample name:4|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 7,Sphere 2 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,13238731764.0,174193839.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:424 7,0:76,A:7630016769;C:1835321568;G:2775223283;T:997916159;N:253985,76,,,,7630016769,1835321568,2775223283,997916159,253985,ERX3511270,ERS3556000,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.77269,,0.45994,,0.99683,,0.04249,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9756,ERR3489854,ERX3511269,ERS3555999,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 1,SAMEA5752540,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752540|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:3|common name:zebrafish|dev stage:Sphere|sample name:3|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 6,Sphere 1 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 24,,,3311799332.0,43576307.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 6,0:76,A:1182325939;C:888677953;G:922571204;T:318159754;N:64482,76,,,,1182325939,888677953,922571204,318159754,64482,ERX3511269,ERS3555999,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.57505,,0.24459,,0.99582,,0.43365,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9757,ERR3489853,ERX3511268,ERS3555999,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,Sphere 1,SAMEA5752540,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752540|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:3|common name:zebrafish|dev stage:Sphere|sample name:3|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 5,Sphere 1 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,7403181508.0,97410283.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 5,0:76,A:4338227974;C:1233250165;G:1372229712;T:459322295;N:151362,76,,,,4338227974,1233250165,1372229712,459322295,151362,ERX3511268,ERS3555999,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.765,,0.44747,,0.99515,,0.12467,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Blastula,Embryo,Undetermined,Embryo Imprecise
9758,ERR3489852,ERX3511267,ERS3555998,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 2,SAMEA5752539,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752539|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:2|common name:zebrafish|dev stage:64 cell|sample name:2|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 4,64 cell 2 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,11722578884.0,154244459.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 4,0:76,A:8175036829;C:1396062240;G:1882846539;T:268587131;N:46145,76,,,,8175036829,1396062240,1882846539,268587131,46145,ERX3511267,ERS3555998,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.81133,,0.41331,,0.99823,,0.03453,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9759,ERR3489851,ERX3511266,ERS3555998,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 2,SAMEA5752539,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752539|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:2|common name:zebrafish|dev stage:64 cell|sample name:2|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 3,64 cell 2 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,9525478088.0,125335238.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 3,0:76,A:4813606784;C:2048902072;G:2140220088;T:522714000;N:35144,76,,,,4813606784,2048902072,2140220088,522714000,35144,ERX3511266,ERS3555998,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.59747,,0.26784,,0.996,,0.21193,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9760,ERR3489850,ERX3511265,ERS3555997,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 1,SAMEA5752538,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752538|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:1|common name:zebrafish|dev stage:64 cell|sample name:1|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 2,64 cell 1 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,,,8544157652.0,112423127.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 2,0:76,A:2633354802;C:2582123846;G:2505786164;T:822713754;N:179086,76,,,,2633354802,2582123846,2505786164,822713754,179086,ERX3511265,ERS3555997,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.34707,,0.02129,,0.99797,,0.62478,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9761,ERR3489849,ERX3511264,ERS3555997,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 1,SAMEA5752538,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752538|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:1|common name:zebrafish|dev stage:64 cell|sample name:1|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 22 08 2019 11:57:43:423 1,64 cell 1 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 08 22,run7_64_cell_SSU_12_13_14.fastq.gz,fastq,10139466432.0,133414032.0,ena RUN Computational Biology Unit 22 08 2019 11:57:43:423 1,0:76 1:0,A:4628193785;C:2494821868;G:2485640988;T:530605907;N:203884,76,0,,,4628193785,2494821868,2485640988,530605907,203884,ERX3511264,ERS3555997,ERA2100634,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.06893,,0.02559,,0.99766,,0.90567,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9762,ERR3413870,ERX3437516,ERS3555997,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 1,SAMEA5752538,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752538|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:1|common name:zebrafish|dev stage:64 cell|sample name:1|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 03 07 2019 14:45:09:705 2,64 cell 1 LSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,8544157652.0,112423127.0,ena RUN Computational Biology Unit 03 07 2019 14:45:09:705 2,0:76,A:2633354802;C:2582123846;G:2505786164;T:822713754;N:179086,76,,,,2633354802,2582123846,2505786164,822713754,179086,ERX3437516,ERS3555997,ERA2028987,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.34696,,0.02086,,0.99795,,0.66261,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
9763,ERR3413869,ERX3437515,ERS3555997,ERP116106,PRJEB33323,Deconstructing the individual steps of vertebrate translation initiation,ena-STUDY-Computational Biology Unit-03-07-2019-10:11:34:314-422,Other,In eukaryotes  the number of ribosomes synthesizing a given protein depends on how many are recruited to its mRNA  their success in navigating its five prime untranslated region UTR and whether they recognize its start codon. Initiation of translation is a rate limiting step in protein synthesis and key to gene expression control 1  but despite this centrality it remains poorly understood 2 3. Here we introduce ribosome complex profiling RCP seq to capture the transcriptome wide occupancy of scanning  initiating  elongating and terminating ribosome complexes in a higher eukaryote. We track scanning and elongating ribosomes across all five prime UTRs in zebrafish  which enable us to assess the individual regulatory contributions from the three stages of initiation: ribosome recruitment  scanning of the five prime UTR and recognition of the start codon. Our data sheds light on small subunit recruitment to mRNAs presenting evidence for the threading model and demonstrates that sequence features regulate this recruitment. We estimate the processivity of scanning ribosomes as they traverse the five prime UTR and show that the repressive effects of upstream open reading frames depend on the efficiency of both translation initiation and termination. Finally  we determine the optimal initiation contexts by directly estimating the conversion of scanning to elongating ribosomes and demonstrate specific regulation of translation initiation at the endoplasmic reticulum. Our results open for the possibility of deconvoluting translation initiation into separate stages and provides the first view of global occupancy of ribosomal small subunits in a vertebrate.,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,64 cell 1,SAMEA5752538,Computational Biology Unit,ENA FIRST PUBLIC:2020 03 27T17:04:59Z|ENA LAST UPDATE:2019 07 03T10:01:14Z|External Id:SAMEA5752538|INSDC center name:Computational Biology Unit|INSDC first public:2020 03 27T17:04:59Z|INSDC last update:2019 07 03T10:01:14Z|INSDC status:public|Submitter Id:1|common name:zebrafish|dev stage:64 cell|sample name:1|scientific name:Danio rerio,,,,,,,,,NextSeq 500 sequencing,ena EXPERIMENT Computational Biology Unit 03 07 2019 14:45:09:705 1,64 cell 1 SSU,None,RCP seq,,OTHER,TRANSCRIPTOMIC,other,SINGLE,ILLUMINA,NextSeq 500,,ERP116106,NextSeq 500 sequencing,ENA FIRST PUBLIC:2020 03 27|ENA LAST UPDATE:2019 07 03,,,10139466432.0,133414032.0,ena RUN Computational Biology Unit 03 07 2019 14:45:09:705 1,0:76,A:4628193785;C:2494821868;G:2485640988;T:530605907;N:203884,76,,,,4628193785,2494821868,2485640988,530605907,203884,ERX3437515,ERS3555997,ERA2028987,Computational Biology Unit|European Nucleotide Archive,Computational Biology Unit,1,0.06884,,0.02526,,0.99762,,0.89856,,76,,B,,usable mapping rate,illumina,nextseq,unknown,other,unknown,bulk,unknown,unknown,,Unknown,2019-07-03,Cleavage,Embryo,Undetermined,Embryo Imprecise
25162,SRR25655085,SRX21381122,SRS18622091,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 8 AU1038 STRSS4,GSM7712891,,source name:larvae|tissue:larvae|genotype:WT|treatment:From parent chronically stressed|geo loc name:missing|collection date:missing,Sample 8 AU1038 STRSS4,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:From parent chronically stressed,GSM7712891,GSM7712891: Sample 8 AU1038 STRSS4; Danio rerio; ncRNA Seq,GSM7712891 r1,GSM7712891,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,STRS04_10932AAD_TGTCCTAC-ACATGAGT_R1_001.fastq.gz,fastq,641236400.0,12824728.0,GSM7712891 r1,0:50,A:183546979;C:159774155;G:156033079;T:141881902;N:285,50,,,,183546979,159774155,156033079,141881902,285,SRX21381122,SRS18622091,SRA1693666,CNAG,CNAG,1,0.4736,,0.03992,,0.96788,,0.87662,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25163,SRR25655086,SRX21381121,SRS18622090,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 7 AU1037 STRSS3,GSM7712890,,source name:larvae|tissue:larvae|genotype:WT|treatment:From parent chronically stressed|geo loc name:missing|collection date:missing,Sample 7 AU1037 STRSS3,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:From parent chronically stressed,GSM7712890,GSM7712890: Sample 7 AU1037 STRSS3; Danio rerio; ncRNA Seq,GSM7712890 r1,GSM7712890,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,STRS03_10931AAD_GCACGATT-CGTCTGCA_R1_001.fastq.gz,fastq,434646850.0,8692937.0,GSM7712890 r1,0:50,A:126760670;C:102577685;G:109591447;T:95716876;N:172,50,,,,126760670,102577685,109591447,95716876,172,SRX21381121,SRS18622090,SRA1693666,CNAG,CNAG,1,0.52132,,0.04615,,0.96477,,0.85481,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25164,SRR25655087,SRX21381120,SRS18622089,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 6 AU1036 STRSS2,GSM7712889,,source name:larvae|tissue:larvae|genotype:WT|treatment:From parent chronically stressed|geo loc name:missing|collection date:missing,Sample 6 AU1036 STRSS2,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:From parent chronically stressed,GSM7712889,GSM7712889: Sample 6 AU1036 STRSS2; Danio rerio; ncRNA Seq,GSM7712889 r1,GSM7712889,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,STRS02_10930AAD_ATGAAGCG-GCGGACAG_R1_001.fastq.gz,fastq,907610650.0,18152213.0,GSM7712889 r1,0:50,A:271494673;C:215304417;G:220608756;T:200202267;N:537,50,,,,271494673,215304417,220608756,200202267,537,SRX21381120,SRS18622089,SRA1693666,CNAG,CNAG,1,0.44189,,0.03477,,0.97335,,0.88092,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25165,SRR25655088,SRX21381119,SRS18622088,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 5 AU1035 STRSS1,GSM7712888,,source name:larvae|tissue:larvae|genotype:WT|treatment:From parent chronically stressed|geo loc name:missing|collection date:missing,Sample 5 AU1035 STRSS1,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:From parent chronically stressed,GSM7712888,GSM7712888: Sample 5 AU1035 STRSS1; Danio rerio; ncRNA Seq,GSM7712888 r1,GSM7712888,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,STRS01_10929AAD_CACTTCGA-TAGGCTTC_R1_001.fastq.gz,fastq,711276100.0,14225522.0,GSM7712888 r1,0:50,A:207284968;C:173540770;G:172961619;T:157488473;N:270,50,,,,207284968,173540770,172961619,157488473,270,SRX21381119,SRS18622088,SRA1693666,CNAG,CNAG,1,0.47865,,0.03881,,0.97001,,0.87616,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25166,SRR25655089,SRX21381118,SRS18622087,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 4 AU1028 CTRL4,GSM7712887,,source name:larvae|tissue:larvae|genotype:WT|treatment:Control|geo loc name:missing|collection date:missing,Sample 4 AU1028 CTRL4,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:Control,GSM7712887,GSM7712887: Sample 4 AU1028 CTRL4; Danio rerio; ncRNA Seq,GSM7712887 r1,GSM7712887,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,CTRL04_10928AAD_GACTAGGC-GCCTCGAC_R1_001.fastq.gz,fastq,568037350.0,11360747.0,GSM7712887 r1,0:50,A:165826590;C:133109854;G:141956673;T:127143732;N:501,50,,,,165826590,133109854,141956673,127143732,501,SRX21381118,SRS18622087,SRA1693666,CNAG,CNAG,1,0.48051,,0.0347,,0.97268,,0.87465,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25167,SRR25655090,SRX21381117,SRS18622086,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 3 AU1027 CTRL3,GSM7712886,,source name:larvae|tissue:larvae|genotype:WT|treatment:Control|geo loc name:missing|collection date:missing,Sample 3 AU1027 CTRL3,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:Control,GSM7712886,GSM7712886: Sample 3 AU1027 CTRL3; Danio rerio; ncRNA Seq,GSM7712886 r1,GSM7712886,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,CTRL03_10927AAD_AGTATACT-CGAATCGG_R1_001.fastq.gz,fastq,651469300.0,13029386.0,GSM7712886 r1,0:50,A:191788726;C:154951271;G:161329211;T:143399936;N:156,50,,,,191788726,154951271,161329211,143399936,156,SRX21381117,SRS18622086,SRA1693666,CNAG,CNAG,1,0.45412,,0.04073,,0.96934,,0.88507,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25168,SRR25655091,SRX21381116,SRS18622085,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 2 AU1026 CTRL2,GSM7712885,,source name:larvae|tissue:larvae|genotype:WT|treatment:Control|geo loc name:missing|collection date:missing,Sample 2 AU1026 CTRL2,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:Control,GSM7712885,GSM7712885: Sample 2 AU1026 CTRL2; Danio rerio; ncRNA Seq,GSM7712885 r1,GSM7712885,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,CTRL02_10926AAD_CCGCGTAG-TTCTGATT_R1_001.fastq.gz,fastq,754615100.0,15092302.0,GSM7712885 r1,0:50,A:217013981;C:184328493;G:188964773;T:164307508;N:345,50,,,,217013981,184328493,188964773,164307508,345,SRX21381116,SRS18622085,SRA1693666,CNAG,CNAG,1,0.48926,,0.04654,,0.96418,,0.8889,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
25169,SRR25655092,SRX21381115,SRS18622084,SRP455342,PRJNA1005926,miR 29a is downregulated in progenies derived from chronically stressed males,GSE240954,Transcriptome Analysis,To investigate the potential vertical transmission of chronic stress to the unexposed larvae  to report novel consequences of paternally inherited chronic stress at molecular level Overall design: We then performed small RNA seq profiling in the stress derived group and the control one.,,pubmed:37762407,,Sample 1 AU1024 CTRL1,GSM7712884,,source name:larvae|tissue:larvae|genotype:WT|treatment:Control|geo loc name:missing|collection date:missing,Sample 1 AU1024 CTRL1,Trimming with trim galore v0.6.6   length 16   stringency 10 Mapping with STAR v2.7.8a against GRCz11 Quantification with RSEM v1.3.0 using ensembl release 104 Assembly: GRCz11 Supplementary files format and content: TSV raw counts,larvae,,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,tissue:larvae|genotype:WT|treatment:Control,GSM7712884,GSM7712884: Sample 1 AU1024 CTRL1; Danio rerio; ncRNA Seq,GSM7712884 r1,GSM7712884,1,RNA was harvested using with Qiazol; a miRNeasy tissue kit Qiagen. Only samples meeting the requirements 3 µg of RNA; RNA integrity number RIN > 8 were used in RNA seq analysis.,,ncRNA-Seq,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP455342,,loader:fastq load.py,CTRL01_10925AAD_TTAGCCTA-AATCATCA_R1_001.fastq.gz,fastq,670580700.0,13411614.0,GSM7712884 r1,0:50,A:194653643;C:158916446;G:165941477;T:151068917;N:217,50,,,,194653643,158916446,165941477,151068917,217,SRX21381115,SRS18622084,SRA1693666,CNAG,CNAG,1,0.47093,,0.03457,,0.97187,,0.8867,,50,,B,,usable mapping rate,illumina,novaseq_era,unknown,size_fractionation,unknown,bulk,unknown,unknown,,Spain,2023-08-16,Larval,Larval,Undetermined,Undetermined
29719,SRR27485664,SRX23156885,SRS20107306,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs R3,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|replicate:3|BioSampleModel:Model organism or animal,,,,,,,,,mRNA seq of zebrafish: eggs  rep4,EV06009,EV06009,RNA was extracted with Trizol and processed with QuantSeq three prime mRNA Seq Library Prep Kit FWD for Illumina Lexogen. 500 ng total RNA per sample. Single indexed QuantSeq libraries were QC checked on a Bioanalyzer 2100 Agilent using a High Sensitivity DNA Kit for correct insert size and quantified using Qubit dsDNA HS Assay Invitrogen. Pooled libraries were sequenced on a NextSeq500 instrument Illumina in 1x75bp single end sequencing mode,,,RNA-Seq,TRANSCRIPTOMIC,Oligo-dT,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV06009.R1.fastq.gz,fastq,809138488.0,10734286.0,EV06009.R1.fastq.gz,0:75.38,A:236901398;C:156814193;G:179647937;T:235732894;N:42066,75,,,,236901398,156814193,179647937,235732894,42066,SRX23156885,SRS20107306,SRA1783314,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.92159,,0.07516,,0.837,,0.7566,,69,,B,,usable mapping rate,illumina,nextseq,3prime,poly_a,lexogen,bulk,unknown,unknown,,Austria,2024-01-11,Undetermined,Embryo,Undetermined,Embryo Imprecise
29730,SRR27485675,SRX23156874,SRS20107295,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs R2,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|replicate:2|BioSampleModel:Model organism or animal,,,,,,,,,mRNA seq of zebrafish: eggs  rep4,EV06002,EV06002,RNA was extracted with Trizol and processed with QuantSeq three prime mRNA Seq Library Prep Kit FWD for Illumina Lexogen. 500 ng total RNA per sample. Single indexed QuantSeq libraries were QC checked on a Bioanalyzer 2100 Agilent using a High Sensitivity DNA Kit for correct insert size and quantified using Qubit dsDNA HS Assay Invitrogen. Pooled libraries were sequenced on a NextSeq500 instrument Illumina in 1x75bp single end sequencing mode,,,RNA-Seq,TRANSCRIPTOMIC,Oligo-dT,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV06002.R1.fastq.gz,fastq,632849068.0,8404028.0,EV06002.R1.fastq.gz,0:75.30,A:194183801;C:123105421;G:139266843;T:176255048;N:37955,75,,,,194183801,123105421,139266843,176255048,37955,SRX23156874,SRS20107295,SRA1783314,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.88896,,0.09385,,0.81864,,0.73385,,75,,B,,usable mapping rate,illumina,nextseq,3prime,poly_a,lexogen,bulk,unknown,unknown,,Austria,2024-01-11,Undetermined,Embryo,Undetermined,Embryo Imprecise
29737,SRR27477297,SRX23148650,SRS20099368,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs R4,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|replicate:4|BioSampleModel:Model organism or animal,,,,,,,,,mRNA seq of zebrafish: eggs  rep4,EV09002,EV09002,RNA was extracted with Trizol and processed with QuantSeq three prime mRNA Seq Library Prep Kit FWD for Illumina Lexogen. 500 ng total RNA per sample. Single indexed QuantSeq libraries were QC checked on a Bioanalyzer 2100 Agilent using a High Sensitivity DNA Kit for correct insert size and quantified using Qubit dsDNA HS Assay Invitrogen. Pooled libraries were sequenced on a NextSeq500 instrument Illumina in 1x75bp single end sequencing mode,,,RNA-Seq,TRANSCRIPTOMIC,Oligo-dT,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV09002.R1.fastq.gz,fastq,546999929.0,7270092.0,EV09002.R1.fastq.gz,0:75.24,A:165415993;C:110874896;G:124384517;T:146294099;N:30424,75,,,,165415993,110874896,124384517,146294099,30424,SRX23148650,SRS20099368,SRA1782413,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.9065,,0.11883,,0.82231,,0.74466,,75,,B,,usable mapping rate,illumina,nextseq,3prime,poly_a,lexogen,bulk,unknown,unknown,,Austria,2024-01-10,Undetermined,Embryo,Undetermined,Embryo Imprecise
29745,SRR27467678,SRX23139228,SRS20090268,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs mock R2,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  mock  rep2,EV04001,EV04001,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV04001.R1.fastq.gz,fastq,970037880.0,6928842.0,EV04001.R1.fastq.gz,0:140,A:258735538;C:237798398;G:268588390;T:204871983;N:43571,140,,,,258735538,237798398,268588390,204871983,43571,SRX23139228,SRS20090268,SRA1781872,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.0,,0.0,,1.0,,,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-09,Undetermined,Embryo,Undetermined,Embryo Imprecise
29761,SRR27437481,SRX23109816,SRS20064569,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs BS R3,,strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:BS|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  BS  rep3,EV07003,EV07003,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV07003.R1.fastq.gz,fastq,688960160.0,4921144.0,EV07003.R1.fastq.gz,0:140,A:187831021;C:119362814;G:195214528;T:186533242;N:18555,140,,,,187831021,119362814,195214528,186533242,18555,SRX23109816,SRS20064569,SRA1780298,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.0,,0.0,,1.0,,,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-06,Undetermined,Embryo,Undetermined,Embryo Imprecise
29762,SRR27437482,SRX23109815,SRS20064568,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs DM R3,,strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:DM|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  DM  rep3,EV07002,EV07002,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV07002.R1.fastq.gz,fastq,520725380.0,3719467.0,EV07002.R1.fastq.gz,0:140,A:138972126;C:125739732;G:142785467;T:113214166;N:13889,140,,,,138972126,125739732,142785467,113214166,13889,SRX23109815,SRS20064568,SRA1780298,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.00014,,1e-05,,0.99969,,0.5,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-06,Undetermined,Embryo,Undetermined,Embryo Imprecise
29763,SRR27437483,SRX23109814,SRS20064570,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs mock R3,,strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  mock  rep3,EV07001,EV07001,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV07001.R1.fastq.gz,fastq,684538960.0,4889564.0,EV07001.R1.fastq.gz,0:140,A:178906891;C:169237174;G:192342342;T:144034095;N:18458,140,,,,178906891,169237174,192342342,144034095,18458,SRX23109814,SRS20064570,SRA1780298,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.0001,,1e-05,,0.99977,,0.76923,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-06,Undetermined,Embryo,Undetermined,Embryo Imprecise
29782,SRR27435867,SRX23108229,SRS20063067,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs BS R4,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:BS|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  BS  rep4,EV08006,EV08006,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV08006.R1.fastq.gz,fastq,501745580.0,3583897.0,EV08006.R1.fastq.gz,0:140,A:124242793;C:76040623;G:131428076;T:170000220;N:33868,140,,,,124242793,76040623,131428076,170000220,33868,SRX23108229,SRS20063067,SRA1780265,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,4e-05,,0.0,,0.99993,,0.66666,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-05,Undetermined,Embryo,Undetermined,Embryo Imprecise
29783,SRR27435868,SRX23108228,SRS20063063,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs DM R4,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:DM|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  DM  rep4,EV08005,EV08005,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV08005.R1.fastq.gz,fastq,740147520.0,5286768.0,EV08005.R1.fastq.gz,0:140,A:192131338;C:198130943;G:182616631;T:167216834;N:51774,140,,,,192131338,198130943,182616631,167216834,51774,SRX23108228,SRS20063063,SRA1780265,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.00052,,8e-05,,0.99922,,0.92537,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-05,Undetermined,Embryo,Undetermined,Embryo Imprecise
29784,SRR27435869,SRX23108227,SRS20063065,SRP482074,PRJNA1061456,tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development,PRJNA1061456,Other,,,,,,eggs mock R4,,strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal,,,,,,,,,tRAM seq of zebrafish: eggs  mock  rep4,EV08004,EV08004,RNA was extracted with Trizol  tRNA isolated by size selection on denaturing polyacrylamide gel  range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment  three prime adapter ligated with T4 RNA ligase 2  reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase  using NEB Next indexed primers.,,,OTHER,TRANSCRIPTOMIC,size fractionation,SINGLE,ILLUMINA,NextSeq 500,,SRP482074,,,EV08004.R1.fastq.gz,fastq,761663140.0,5440451.0,EV08004.R1.fastq.gz,0:140,A:194684966;C:192212418;G:196372829;T:178340184;N:52743,140,,,,194684966,192212418,196372829,178340184,52743,SRX23108227,SRS20063065,SRA1780265,Medical University of Vienna|Cell and Developmental Biology,Medical University of Vienna,1,0.00151,,0.00037,,0.99884,,0.82352,,140,,T,,under 1.2% mapping rate,illumina,nextseq,unknown,size_fractionation,nebnext,bulk,unknown,unknown,,Austria,2024-01-05,Undetermined,Embryo,Undetermined,Embryo Imprecise
30658,SRR28054753,SRX23704452,SRS20534448,SRP491086,PRJNA1078753,Integrated mRNA  and miRNA  sequencing analyses unveil the underlying mechanism of tobacco pollutant induced developmental toxicity in zebrafish embryos,PRJNA1078753,Other,Tobacco pollutants are prevalent in the environment  leading to inadvertent exposure of pregnant females. Studies of these pollutants' toxic effects on development have not fully elucidated the potential underlying mechanisms. Therefore  in this study  we aim at investigate the developmental toxicity induced by cigarette smoke extract CSE at concentrations of 0.25%  1%  and 2.5% using a zebrafish embryo toxicity test and integrated transcriptomic analysis of microRNA miRNA and messenger RNA mRNA. The findings revealed that CSE caused developmental toxicity  including increased mortality and decreased incubation rate  in a dose dependent manner. Moreover  CSE induced malformations and apoptosis  specifically in the head and heart of zebrafish larvae. We used mRNA and miRNA sequencing analyses to compare changes in the expression of genes and miRNAs in zebrafish larvae. The bioinformatics analysis indicates that the mechanism underlying CSE induced developmental toxicity was associated with genetic repair impairment  apoptosis disorder  and lipid metabolism disturbance. The enrichment analysis and RT qPCR show that the ctsba gene plays a crucial function in embryo developmental apoptosis  and the fads2 gene mainly regulates lipid metabolic toxicity. The results of this study improve the understanding of CSE induced developmental toxicity in zebrafish embryos and contribute insights into the formulation of novel preventive strategies against tobacco pollutants during early embryonic development.,,,,,S21K1230,,library ID:H 3|title:High 3|library strategy:OTHER|library source:METATRANSCRIPTIOMIC|library selection:other|library layout:paired|platform:ILLUMINA|instrument model:RNA seq|filetype:fastq|filename:S21K1230 rep1 1 URNA S74 L003 R1 001.fastq|filename2:S21K1230 rep1 1 URNA S74 L003 R2 001.fastq|host:missing|isolation source:missing|collection date:missing|geographic location:missing|latitude and longitude:missing|age:missing|breed:missing|cultivar:missing|dev stage:missing|ecotype:missing|isolate:missing|sex:missing|strain:missing|tissue:missing|BioSampleModel:Model organism or animal,,,,,,,,,High 3,H 3,H 3,missing,,,RNA-Seq,METATRANSCRIPTOMIC,other,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP491086,,,S21K1230_rep1_1_URNA_S74_L003_R1_001.fastq.gz S21K1230_rep1_1_URNA_S74_L003_R2_001.fastq.gz,fastq fastq,6117817800.0,20392726.0,S21K1230 rep1 1 URNA S74 L003 R1 001.fastq.gz,0:150 1:150,A:1635728688;C:1405168032;G:1464072107;T:1612834762;N:14211,150,150,,,1635728688,1405168032,1464072107,1612834762,14211,SRX23704452,SRS20534448,SRA1806456,The Second Affiliated Hospital of Shantou University Medical College|Department of Burns and Plastic Surgery,The Second Affiliated Hospital of Shantou University Medical College,,,,,,,,,,,,B,B,biological fallback assumption,illumina,novaseq_era,unknown,small_rna,unknown,bulk,unknown,unknown,,China,2024-02-22,Undetermined,Multi-stage,Undetermined,Undetermined
34282,SRR31640757,SRX27004210,SRS23468967,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,CD1,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Experiment group replicate1|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Experiment group,BXP 1,BXP 1,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,BXP_1.fq.gz,fastq,816499035.0,16009785.0,BXP 1.fq.gz,0:51,A:191280900;C:189440771;G:247005615;T:188686493;N:85256,51,,,,191280900,189440771,247005615,188686493,85256,SRX27004210,SRS23468967,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
34283,SRR31640758,SRX27004209,SRS23468966,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,Control3,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Control group replicate3|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Control group,Control 3,Control 3,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,Control_3.fq.gz,fastq,662560023.0,12991373.0,Control 3.fq.gz,0:51,A:151053320;C:152811933;G:203340354;T:155283230;N:71186,51,,,,151053320,152811933,203340354,155283230,71186,SRX27004209,SRS23468966,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
34284,SRR31640759,SRX27004208,SRS23468963,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,Control2,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Control group replicate2|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Control group,Control 2,Control 2,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,Control_2.fq.gz,fastq,648856119.0,12722669.0,Control 2.fq.gz,0:51,A:149869576;C:151844056;G:195830503;T:151241215;N:70769,51,,,,149869576,151844056,195830503,151241215,70769,SRX27004208,SRS23468963,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
34285,SRR31640760,SRX27004207,SRS23468962,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,Control1,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Control group replicate1|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Control group,Control 1,Control 1,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,Control_1.fq.gz,fastq,835887501.0,16389951.0,Control 1.fq.gz,0:51,A:193253330;C:196900031;G:252690178;T:192797500;N:246462,51,,,,193253330,196900031,252690178,192797500,246462,SRX27004207,SRS23468962,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
34290,SRR31640765,SRX27004202,SRS23468965,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,CD3,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Experiment group replicate3|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Experiment group,BXP 3,BXP 3,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,BXP_3.fq.gz,fastq,656139327.0,12865477.0,BXP 3.fq.gz,0:51,A:152349522;C:156353407;G:196379918;T:150985088;N:71392,51,,,,152349522,156353407,196379918,150985088,71392,SRX27004202,SRS23468965,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
34291,SRR31640766,SRX27004201,SRS23468964,SRP550004,PRJNA1195374,Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2,PRJNA1195374,Other,Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz  widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed  with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected  treated with CD  and evaluated for migration  invasion  malondialdehyde level  superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression  alleviate HT22 cell injury  and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.,,,,,CD2,,strain:not applicable|isolate:not applicable|breed:not applicable|cultivar:not applicable|ecotype:not applicable|age:not applicable|dev stage:not applicable|collection date:not applicable|geo loc name:not applicable|sex:not applicable|tissue:not applicable|treatment:Experiment group replicate2|BioSampleModel:Model organism or animal,,,,,,,,,microRNA seq of Danio rerio: Experiment group,BXP 2,BXP 2,,,,miRNA-Seq,TRANSCRIPTOMIC,RANDOM,SINGLE,ILLUMINA,Illumina NovaSeq 6000,,SRP550004,,,BXP_2.fq.gz,fastq,644434827.0,12635977.0,BXP 2.fq.gz,0:51,A:151820167;C:153674905;G:190467723;T:148402934;N:69098,51,,,,151820167,153674905,190467723,148402934,69098,SRX27004201,SRS23468964,SRA2029520,Heilongjiang University of Chinese Medicine|College of Traditional Chinese Medicine,Heilongjiang University of Chinese Medicine,,,,,,,,,,,,T,,under 1.2% mapping rate,illumina,novaseq_era,unknown,random_priming,unknown,bulk,unknown,unknown,,China,2024-12-07,Undetermined,Larval,Undetermined,Undetermined
36423,SRR516547,SRX156325,SRS347201,SRP013950,PRJNA169500,Danio rerio embryonic promoterome,PRJNA169500,Transcriptome Analysis,Goal of this study is to generate genome wide maps of transcription initiation throughout early embryonic development of zebrafish Danio rerio. Cap analysis of gene expression CAGE is used to detect transcription start sites at 1bp resolution. CAGE data is complemented by ChIPseq datasets for promoter associated histone modifications to study dynamic changes of promoter usage and chromatin configuration throughout early embryonic development.,,pubmed:24531765,Zebrafish wild type AB strain   fertilized egg,D. rerio fertilized egg,D. rerio fertilized egg,,,,,,,,,,,CAGE   D. rerio fertilized egg,CAGE   D. rerio fertilized egg,D. rerio fertilized egg,1,,,OTHER,TRANSCRIPTOMIC,CAGE,SINGLE,ILLUMINA,Illumina Genome Analyzer IIx,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>27</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP013950,,,CAGE_fertilized_egg.fastq,fastq,160948350.0,5961050.0,CAGE   D. rerio fertilized egg,0:27,A:42030009;C:34700589;G:45399755;T:38817997;N:0,27,,,,42030009,34700589,45399755,38817997,0,SRX156325,SRS347201,SRA055273,University of Bergen,ZEPROME consortium,1,0.49394,,0.07554,,0.81684,,0.79759,,27,,B,,usable mapping rate,illumina,early_illumina,unknown,cage,unknown,bulk,unknown,unknown,,Unknown,2012-06-28,Undetermined,Embryo,Undetermined,Embryo Imprecise
36504,SRR535848,SRX174964,SRS352998,SRP014772,PRJNA172016,Danio rerio strain:*AB Variation,PRJNA172016,Other,Forward genetic screens have elucidated molecular pathways required for innumerable aspects of life  however identifying the causal mutations from such screens has long been the bottleneck in the process  particularly in vertebrates. We have developed an RNA Seq based approach that identifies both the region of the genome linked to a mutation and candidate lesions that may be causal for the phenotype of interest. We show that our method successfully identifies zebrafish mutations that cause nonsense or missense changes to codons  alter transcript splicing  or alter gene expression levels. Furthermore  we develop an online accessible or downloadable bioinformatics pipeline allowing for easy implementation of all steps of the method. Overall  we show that RNA Seq is a fast  reliable  and cost effective method to map and identify mutations that will greatly facilitate the power of forward genetics in vertebrate models.,,,RNA seq data from Miller et al submitted. Data was generated in order to map ENU induced mutations in zebrafish. This data hox20 was created from 20 pooled hoxb1bb1219 fish that were the siblings of wt20.,Miller hox20.bam,Miller hox20.bam,,,,,,,,,,,Miller hox20.bam,Miller hox20.bam,1,50 bp Paired End,,,RNA-Seq,TRANSCRIPTOMIC,RT-PCR,SINGLE,ILLUMINA,Illumina HiSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>180</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP014772,,,hox20.bam,bam,2051648571.0,22151528.0,Miller hox20.bam,0:49 1:49,A:528770281;C:501621137;G:487051170;T:534176088;N:29895,49,49,,,528770281,501621137,487051170,534176088,29895,SRX174964,SRS352998,SRA056859,Fred Hutchinson Cancer Research Center|Moens,Fred Hutchinson Cancer Research Center,2,0.9629,0.96282,0.07314,0.07288,0.6714,0.67125,0.4665,0.4637,49,49,B,B,biological fallback assumption,illumina,hiseq_era,unknown,other,unknown,bulk,unknown,unknown,,United States,2012-11-30,Undetermined,Undetermined,Undetermined,Undetermined
36666,SRR800043,SRX257153,SRS405345,SRP020008,PRJNA193544,Danio rerio strain:Tubingen Epigenomics,PRJNA193544,Other,Early vertebrate embryos must achieve totipotency and prepare for zygotic genome activation ZGA. To better understand  we determined DNAme profiles of zebrafish gametes  multiple embryo stages flanking ZGA  and somatic muscle   and compared them to gene activity and histone modifications. First  sperm chromatin patterns are virtually identical to those at ZGA. Unexpectedly  in the oocyte many genes important for germline functions ie. piwil1 or early development ie. hox genes are DNA methylated. Remarkably  these maternal loci are demethylated during zygotic/cleavage stages to precisely the state observed in sperm  even in parthenogenetic embryos lacking a replicating paternal genome. Furthermore  this cohort constitutes the genes/loci that acquire DNAme during development ie. ZGA to muscle. Finally  DNA methyltransferase inhibition experiments suggest that DNAme silences particular gene/chromatin cohorts at ZGA  preventing their precocious expression. Thus  zebrafish achieve a 'totipotent' chromatin state at ZGA through paternal genome competency and maternal genome DNAme reprogramming.,,pubmed:23663776,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,Generic sample from Danio rerio,sphere RNAseq totalRNARibominus,,strain:Tubingen|label:PE: paired end  SE: single end|development stage:sphere,,,,,,,,,sphere RNAseq totalRNARibominus,sphere RNAseq totalRNARibominus,7986X2,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,,,RNA-Seq,TRANSCRIPTOMIC,RT-PCR,SINGLE,ILLUMINA,Illumina HiSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>50</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP020008,,,sphere_RNAseq_totalRNARibominus_SE_7986X2_110510_SN141_0338_AB06MWABXX_7.txt.gz,Illumina native,3029181300.0,60583626.0,7986X2 110510 SN141 0338 AB06MWABXX 7,0:50,A:768949744;C:733340278;G:903149841;T:623482299;N:259138,50,,,,768949744,733340278,903149841,623482299,259138,SRX257153,SRS405345,SRA072148,University of Utah|Brad Cairns Lab,University of Utah,1,0.83515,,0.15524,,0.81209,,0.81031,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,rrna_depletion,unknown,bulk,unknown,unknown,,United States,2015-07-22,Blastula,Embryo,Undetermined,Embryo Imprecise
36667,SRR800044,SRX257153,SRS405345,SRP020008,PRJNA193544,Danio rerio strain:Tubingen Epigenomics,PRJNA193544,Other,Early vertebrate embryos must achieve totipotency and prepare for zygotic genome activation ZGA. To better understand  we determined DNAme profiles of zebrafish gametes  multiple embryo stages flanking ZGA  and somatic muscle   and compared them to gene activity and histone modifications. First  sperm chromatin patterns are virtually identical to those at ZGA. Unexpectedly  in the oocyte many genes important for germline functions ie. piwil1 or early development ie. hox genes are DNA methylated. Remarkably  these maternal loci are demethylated during zygotic/cleavage stages to precisely the state observed in sperm  even in parthenogenetic embryos lacking a replicating paternal genome. Furthermore  this cohort constitutes the genes/loci that acquire DNAme during development ie. ZGA to muscle. Finally  DNA methyltransferase inhibition experiments suggest that DNAme silences particular gene/chromatin cohorts at ZGA  preventing their precocious expression. Thus  zebrafish achieve a 'totipotent' chromatin state at ZGA through paternal genome competency and maternal genome DNAme reprogramming.,,pubmed:23663776,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,Generic sample from Danio rerio,sphere RNAseq totalRNARibominus,,strain:Tubingen|label:PE: paired end  SE: single end|development stage:sphere,,,,,,,,,sphere RNAseq totalRNARibominus,sphere RNAseq totalRNARibominus,7986X2,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,,,RNA-Seq,TRANSCRIPTOMIC,RT-PCR,SINGLE,ILLUMINA,Illumina HiSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>50</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP020008,,,sphere_RNAseq_totalRNARibominus_SE_7986X2_110606_SN141_0359_BD0D8KABXX_6.txt.gz,Illumina native,3947123500.0,78942470.0,7986X2 110606 SN141 0359 BD0D8KABXX 6,0:50,A:1000468440;C:957437794;G:1171831772;T:817292633;N:92861,50,,,,1000468440,957437794,1171831772,817292633,92861,SRX257153,SRS405345,SRA072148,University of Utah|Brad Cairns Lab,University of Utah,1,0.81283,,0.14906,,0.81335,,0.81698,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,rrna_depletion,unknown,bulk,unknown,unknown,,United States,2015-07-22,Blastula,Embryo,Undetermined,Embryo Imprecise
36668,SRR800037,SRX257149,SRS405106,SRP020008,PRJNA193544,Danio rerio strain:Tubingen Epigenomics,PRJNA193544,Other,Early vertebrate embryos must achieve totipotency and prepare for zygotic genome activation ZGA. To better understand  we determined DNAme profiles of zebrafish gametes  multiple embryo stages flanking ZGA  and somatic muscle   and compared them to gene activity and histone modifications. First  sperm chromatin patterns are virtually identical to those at ZGA. Unexpectedly  in the oocyte many genes important for germline functions ie. piwil1 or early development ie. hox genes are DNA methylated. Remarkably  these maternal loci are demethylated during zygotic/cleavage stages to precisely the state observed in sperm  even in parthenogenetic embryos lacking a replicating paternal genome. Furthermore  this cohort constitutes the genes/loci that acquire DNAme during development ie. ZGA to muscle. Finally  DNA methyltransferase inhibition experiments suggest that DNAme silences particular gene/chromatin cohorts at ZGA  preventing their precocious expression. Thus  zebrafish achieve a 'totipotent' chromatin state at ZGA through paternal genome competency and maternal genome DNAme reprogramming.,,pubmed:23663776,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,Generic sample from Danio rerio,egg RNAseq totalRNARibominus,,strain:Tubingen|label:PE: paired end  SE: single end|dev stage:egg,,,,,,,,,egg RNAseq totalRNARibominus,egg RNAseq totalRNARibominus,7784X1,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,,,RNA-Seq,TRANSCRIPTOMIC,RT-PCR,SINGLE,ILLUMINA,Illumina HiSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>50</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP020008,,,,,3584440000.0,71688800.0,7784X1 110323 SN141 0332 A81FDVABXX 8,0:50,A:1013532157;C:812179975;G:992916103;T:765761452;N:50313,50,,,,1013532157,812179975,992916103,765761452,50313,SRX257149,SRS405106,SRA072148,University of Utah|Brad Cairns Lab,University of Utah,1,0.87304,,0.12853,,0.81988,,0.80407,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,rrna_depletion,unknown,bulk,unknown,unknown,,United States,2013-04-01,Undetermined,Embryo,Undetermined,Embryo Imprecise
36669,SRR800038,SRX257149,SRS405106,SRP020008,PRJNA193544,Danio rerio strain:Tubingen Epigenomics,PRJNA193544,Other,Early vertebrate embryos must achieve totipotency and prepare for zygotic genome activation ZGA. To better understand  we determined DNAme profiles of zebrafish gametes  multiple embryo stages flanking ZGA  and somatic muscle   and compared them to gene activity and histone modifications. First  sperm chromatin patterns are virtually identical to those at ZGA. Unexpectedly  in the oocyte many genes important for germline functions ie. piwil1 or early development ie. hox genes are DNA methylated. Remarkably  these maternal loci are demethylated during zygotic/cleavage stages to precisely the state observed in sperm  even in parthenogenetic embryos lacking a replicating paternal genome. Furthermore  this cohort constitutes the genes/loci that acquire DNAme during development ie. ZGA to muscle. Finally  DNA methyltransferase inhibition experiments suggest that DNAme silences particular gene/chromatin cohorts at ZGA  preventing their precocious expression. Thus  zebrafish achieve a 'totipotent' chromatin state at ZGA through paternal genome competency and maternal genome DNAme reprogramming.,,pubmed:23663776,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,Generic sample from Danio rerio,egg RNAseq totalRNARibominus,,strain:Tubingen|label:PE: paired end  SE: single end|dev stage:egg,,,,,,,,,egg RNAseq totalRNARibominus,egg RNAseq totalRNARibominus,7784X1,Total RNA was extracted using  Qiagen AllPrep DNA/RNA/Protein mini kit Cat # 80004  ribosomal RNA was depleted using RiboMinus kit A10837 08  Eukaryote Kit followed by directional RNA library preparation according to Illumina's standard protocol. Detailed experimental procedures and bioinformatics analysis can be found in the supplemental method section of the paper.,,,RNA-Seq,TRANSCRIPTOMIC,RT-PCR,SINGLE,ILLUMINA,Illumina HiSeq 2000,<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>50</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>,SRP020008,,,,,2794240450.0,55884809.0,7784X1 110119 SN141 0323 B8162JABXX 8,0:50,A:792200981;C:632130044;G:772351331;T:596980885;N:577209,50,,,,792200981,632130044,772351331,596980885,577209,SRX257149,SRS405106,SRA072148,University of Utah|Brad Cairns Lab,University of Utah,1,0.86104,,0.12909,,0.82266,,0.80894,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,rrna_depletion,unknown,bulk,unknown,unknown,,United States,2013-04-01,Undetermined,Embryo,Undetermined,Embryo Imprecise
37961,SRR1205174,SRX501301,SRS582373,SRP040561,PRJNA242641,Gene expression analysis of hair cell regeneration in the zebrafish lateral line,GSE56176,Transcriptome Analysis,Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However  non mammalian animals e.g. birds  amphibian and fish regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates  we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA Seq analyses on regenerating support cells purified by fluorescence activated cell sorting FACS. The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration  because these cells can be acutely killed by exposure to neomycin  post which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. TgsqET20 larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 dpf dpf TgsqET20 larvae at 1  3 and 5 hours post neomycin treatment  as well as from a non treated control. Overall design: Transgenic zebrafish TgsqET20 larvae at 5 dpf were exposed to neomycin  dissociated  and FACS sorted into GFP positive and GFP negative populations at xxx  3  and 5 hours following treatment  along with a mock treated 1 hr control. The experiment was performed in triplicate  for a total of 24 samples.,,pubmed:24706903,,cntl neo 5hr 3,GSM1357182,,tissue:GFP negative cells from 5 dpf larvae|drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,cntl neo 5hr 3,Data was processed with CASAVA version 1.8.2 Sequence reads in fastq format were mapped to danRer7using tophat 1.4.1 with options –g 1 and a GTF description of transcripts based on Ensembl 63. FPKM values for these transcripts were generated using cufflinks v1.3. Genome build: danRer7 Supplementary files format and content: FPKM values per gene.,GFP negative cells from 5 dpf larvae,For neomycin treatment  5dpf larvae were treated for 30min with 300μM neomycin Fisher BioReagents diluted in 0.5X E2 medium  rinsed three times and recovered in 0.5X E2 medium at 28.5°C for the indicated time.,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,Larvae were generated by paired matings and raised in 0.5X E2 medium at 28.5°C. GFP positive larvae were sorted from wild type larvae at 48 hpf under fluorescent stereoscope.,drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,GSM1357182,GSM1357182: cntl neo 5hr 3; Danio rerio; RNA Seq,GSM1357182,,1,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,GEO Accession:GSM1357182,RNA-Seq,TRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,Illumina HiSeq 2000,,SRP040561,,loader:latf load,cntl_neo_5_3.fastq.gz,fastq,1630216750.0,32604335.0,GSM1357182 r1,0:50 1:0,A:435441738;C:384703554;G:377838654;T:432163463;N:69341,50,0,,,435441738,384703554,377838654,432163463,69341,SRX501301,SRS582373,SRA149178,GEO,"Seidel, Genomics, Stowers Institute",1,0.93632,,0.20492,,0.67551,,0.50281,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,poly_a,trueseq,bulk,unknown,unknown,,United States,2014-03-25,Multi-stage,Multi-stage,Undetermined,Undetermined
37962,SRR1205173,SRX501300,SRS582372,SRP040561,PRJNA242641,Gene expression analysis of hair cell regeneration in the zebrafish lateral line,GSE56176,Transcriptome Analysis,Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However  non mammalian animals e.g. birds  amphibian and fish regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates  we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA Seq analyses on regenerating support cells purified by fluorescence activated cell sorting FACS. The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration  because these cells can be acutely killed by exposure to neomycin  post which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. TgsqET20 larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 dpf dpf TgsqET20 larvae at 1  3 and 5 hours post neomycin treatment  as well as from a non treated control. Overall design: Transgenic zebrafish TgsqET20 larvae at 5 dpf were exposed to neomycin  dissociated  and FACS sorted into GFP positive and GFP negative populations at xxx  3  and 5 hours following treatment  along with a mock treated 1 hr control. The experiment was performed in triplicate  for a total of 24 samples.,,pubmed:24706903,,cntl neo 5hr 2,GSM1357181,,tissue:GFP negative cells from 5 dpf larvae|drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,cntl neo 5hr 2,Data was processed with CASAVA version 1.8.2 Sequence reads in fastq format were mapped to danRer7using tophat 1.4.1 with options –g 1 and a GTF description of transcripts based on Ensembl 63. FPKM values for these transcripts were generated using cufflinks v1.3. Genome build: danRer7 Supplementary files format and content: FPKM values per gene.,GFP negative cells from 5 dpf larvae,For neomycin treatment  5dpf larvae were treated for 30min with 300μM neomycin Fisher BioReagents diluted in 0.5X E2 medium  rinsed three times and recovered in 0.5X E2 medium at 28.5°C for the indicated time.,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,Larvae were generated by paired matings and raised in 0.5X E2 medium at 28.5°C. GFP positive larvae were sorted from wild type larvae at 48 hpf under fluorescent stereoscope.,drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,GSM1357181,GSM1357181: cntl neo 5hr 2; Danio rerio; RNA Seq,GSM1357181,,1,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,GEO Accession:GSM1357181,RNA-Seq,TRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,Illumina HiSeq 2000,,SRP040561,,loader:latf load,cntl_neo_5_2.fastq.gz,fastq,1812797550.0,36255951.0,GSM1357181 r1,0:50 1:0,A:484800524;C:426109547;G:417833682;T:483968870;N:84927,50,0,,,484800524,426109547,417833682,483968870,84927,SRX501300,SRS582372,SRA149178,GEO,"Seidel, Genomics, Stowers Institute",1,0.93602,,0.21513,,0.67517,,0.49404,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,poly_a,trueseq,bulk,unknown,unknown,,United States,2014-03-25,Multi-stage,Multi-stage,Undetermined,Undetermined
37963,SRR1205172,SRX501299,SRS582371,SRP040561,PRJNA242641,Gene expression analysis of hair cell regeneration in the zebrafish lateral line,GSE56176,Transcriptome Analysis,Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However  non mammalian animals e.g. birds  amphibian and fish regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates  we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA Seq analyses on regenerating support cells purified by fluorescence activated cell sorting FACS. The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration  because these cells can be acutely killed by exposure to neomycin  post which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. TgsqET20 larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 dpf dpf TgsqET20 larvae at 1  3 and 5 hours post neomycin treatment  as well as from a non treated control. Overall design: Transgenic zebrafish TgsqET20 larvae at 5 dpf were exposed to neomycin  dissociated  and FACS sorted into GFP positive and GFP negative populations at xxx  3  and 5 hours following treatment  along with a mock treated 1 hr control. The experiment was performed in triplicate  for a total of 24 samples.,,pubmed:24706903,,cntl neo 5hr 1,GSM1357180,,tissue:GFP negative cells from 5 dpf larvae|drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,cntl neo 5hr 1,Data was processed with CASAVA version 1.8.2 Sequence reads in fastq format were mapped to danRer7using tophat 1.4.1 with options –g 1 and a GTF description of transcripts based on Ensembl 63. FPKM values for these transcripts were generated using cufflinks v1.3. Genome build: danRer7 Supplementary files format and content: FPKM values per gene.,GFP negative cells from 5 dpf larvae,For neomycin treatment  5dpf larvae were treated for 30min with 300μM neomycin Fisher BioReagents diluted in 0.5X E2 medium  rinsed three times and recovered in 0.5X E2 medium at 28.5°C for the indicated time.,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,Larvae were generated by paired matings and raised in 0.5X E2 medium at 28.5°C. GFP positive larvae were sorted from wild type larvae at 48 hpf under fluorescent stereoscope.,drug:neomycin|time:5hr|gfp status:negative|genotype:TgsqET20|experiment date:Apr2012,GSM1357180,GSM1357180: cntl neo 5hr 1; Danio rerio; RNA Seq,GSM1357180,,1,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,GEO Accession:GSM1357180,RNA-Seq,TRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,Illumina HiSeq 2000,,SRP040561,,loader:latf load,cntl_neo_5_1.fastq.gz,fastq,1616736500.0,32334730.0,GSM1357180 r1,0:50 1:0,A:425328931;C:388105733;G:379129548;T:424100489;N:71799,50,0,,,425328931,388105733,379129548,424100489,71799,SRX501299,SRS582371,SRA149178,GEO,"Seidel, Genomics, Stowers Institute",1,0.9361,,0.23516,,0.68091,,0.50961,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,poly_a,trueseq,bulk,unknown,unknown,,United States,2014-03-25,Multi-stage,Multi-stage,Undetermined,Undetermined
37964,SRR1205171,SRX501298,SRS582370,SRP040561,PRJNA242641,Gene expression analysis of hair cell regeneration in the zebrafish lateral line,GSE56176,Transcriptome Analysis,Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However  non mammalian animals e.g. birds  amphibian and fish regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates  we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA Seq analyses on regenerating support cells purified by fluorescence activated cell sorting FACS. The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration  because these cells can be acutely killed by exposure to neomycin  post which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. TgsqET20 larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 dpf dpf TgsqET20 larvae at 1  3 and 5 hours post neomycin treatment  as well as from a non treated control. Overall design: Transgenic zebrafish TgsqET20 larvae at 5 dpf were exposed to neomycin  dissociated  and FACS sorted into GFP positive and GFP negative populations at xxx  3  and 5 hours following treatment  along with a mock treated 1 hr control. The experiment was performed in triplicate  for a total of 24 samples.,,pubmed:24706903,,gfp neo 5hr 3,GSM1357179,,tissue:GFP positive cells from 5 dpf larvae|drug:neomycin|time:5hr|gfp status:positive|genotype:TgsqET20|experiment date:Apr2012,gfp neo 5hr 3,Data was processed with CASAVA version 1.8.2 Sequence reads in fastq format were mapped to danRer7using tophat 1.4.1 with options –g 1 and a GTF description of transcripts based on Ensembl 63. FPKM values for these transcripts were generated using cufflinks v1.3. Genome build: danRer7 Supplementary files format and content: FPKM values per gene.,GFP positive cells from 5 dpf larvae,For neomycin treatment  5dpf larvae were treated for 30min with 300μM neomycin Fisher BioReagents diluted in 0.5X E2 medium  rinsed three times and recovered in 0.5X E2 medium at 28.5°C for the indicated time.,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,Larvae were generated by paired matings and raised in 0.5X E2 medium at 28.5°C. GFP positive larvae were sorted from wild type larvae at 48 hpf under fluorescent stereoscope.,drug:neomycin|time:5hr|gfp status:positive|genotype:TgsqET20|experiment date:Apr2012,GSM1357179,GSM1357179: gfp neo 5hr 3; Danio rerio; RNA Seq,GSM1357179,,1,Two hundred 5dpf untreated TgsqET20 control or neomycin treated TgsqET20 larvae were anesthetized  collected in a 2mL tube  dissociated with trypsin and filtered to remove un dissociated tissue. A two gate FACS strategy was used to select only living target cells from excesses of dead cells and cellular debris of the larval cell suspensions see Materials and Methods of associated manuscript for detailed FACS protocol. Approximately 30 000 GFP  or GFP+ cells were used for total RNA extraction using Trizol Invitrogen following the manufacturer’s manual. Libraries for RNA sequencing were made with poly A selected mRNA using the Illumina TruSeq RNA library construction kit v2 Illumina. The resulting libraries were purified using Agencourt AMPure XP system Backman Coulter  then quantified using a Bioanalyzer or Qubit Fluorometer Life Technologies.,GEO Accession:GSM1357179,RNA-Seq,TRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,Illumina HiSeq 2000,,SRP040561,,loader:latf load,gfp_neo_5_3.fastq.gz,fastq,1856512100.0,37130242.0,GSM1357179 r1,0:50 1:0,A:492227117;C:440944515;G:431529818;T:491731276;N:79374,50,0,,,492227117,440944515,431529818,491731276,79374,SRX501298,SRS582370,SRA149178,GEO,"Seidel, Genomics, Stowers Institute",1,0.93677,,0.28732,,0.71435,,0.50496,,50,,B,,usable mapping rate,illumina,hiseq_era,unknown,poly_a,trueseq,bulk,unknown,unknown,,United States,2014-03-25,Multi-stage,Multi-stage,Undetermined,Undetermined