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run_metadata

443 rows where experiment.library_layout = "SINGLE" and tissue_curation = "Undetermined"

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experiment.library_selection 10

devstage_curation >10

experiment.platform 6

experiment.library_strategy 5

devstage_curation_coarse 5

tissue_curation_coarse 2

technology 2

experiment.library_source 2

tissue_curation 1

  • Undetermined · 443 ✖

experiment.library_layout 1

  • SINGLE · 443 ✖
Link 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
9918 9918 ERR5059480 ERX4865549 ERS5523939 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05     aAM 6h rep1 JD AD30 PRPN1970901   ENA FIRST PUBLIC:2022 07 05T12:06:33Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:33Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 09 01 2021 19:50:56:183 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-AD30_PRPN197090.tar.gz nanopore 3739882337.0 3148027.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 09 01 2021 19:50:56:183 1 0:1188.01 A:1054501690;C:834193435;G:847423060;T:1003764152;N:0 1188       1054501690 834193435 847423060 1003764152 0 ERX4865549 ERS5523939 ERA3206712 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       B   usable mapping rate ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9919 9919 ERR5167510 ERX4972431 ERS5593364 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05     cDNA WT 2hpf rep1 JD T20 PDPN191089   ENA FIRST PUBLIC:2022 07 05T12:06:34Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:34Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 21 01 2021 22:16:50:154 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05         ena RUN CENTER FOR GENOMIC REGULATION CRG 21 01 2021 22:16:50:154 1                       ERX4972431   ERA3319053 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Cleavage Embryo Undetermined Embryo Imprecise
9920 9920 ERR4330695 ERX4277529 ERS4811113 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 2h rep1 WT 2h rep1 SAMEA7050483 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05|External Id:SAMEA7050483|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 07 05T12:06:22Z|INSDC last update:2022 07 05T12:06:22Z|INSDC status:public|Submitter Id:JD B2 PDBN005727|common name:zebrafish|sample name:JD B2 PDBN005727                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 09 07 2020 13:48:01:100 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-B2_PDBN005727.tar.gz fastq     ena RUN CENTER FOR GENOMIC REGULATION CRG 09 07 2020 13:48:01:100 1                       ERX4277529   ERA2767154 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9921 9921 ERR4327134 ERX4273968 ERS4808634 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 4h rep2 WT 4h rep2 SAMEA7048000 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05|External Id:SAMEA7048000|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 07 05T12:06:22Z|INSDC last update:2022 07 05T12:06:22Z|INSDC status:public|Submitter Id:JD AM39 PDBN042841|common name:zebrafish|sample name:JD AM39 PDBN042841                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 07 07 2020 16:36:02:084 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-AM39_PDBN042841.tar.gz nanopore 719646261.0 897768.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 07 07 2020 16:36:02:084 1 0:801.59 A:210217908;C:152963718;G:157393834;T:199070801;N:0 801       210217908 152963718 157393834 199070801 0 ERX4273968 ERS4808634 ERA2764800 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       T   under 1.2% mapping rate ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9922 9922 ERR4330696 ERX4277530 ERS4811114 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 4h rep1 WT 4h rep1 JD C3 PDBN006177   ENA FIRST PUBLIC:2022 07 05T12:06:22Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:22Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 09 07 2020 13:48:01:100 2 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-C3_PDBN006177.tar.gz nanopore 4240799932.0 4331689.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 09 07 2020 13:48:01:100 2 0:979.02 A:1229803846;C:914476674;G:943703560;T:1152815852;N:0 979       1229803846 914476674 943703560 1152815852 0 ERX4277530 ERS4811114 ERA2767154 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       B   usable mapping rate ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9923 9923 ERR4327135 ERX4273969 ERS4808635 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 6h rep1 WT 6h rep1 JD AC29 PDBN024889   ENA FIRST PUBLIC:2022 07 05T12:06:22Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:22Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 07 07 2020 16:36:02:084 2 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-AC29_PDBN024889.tar.gz nanopore 1900324756.0 2013035.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 07 07 2020 16:36:02:084 2 0:944.01 A:549431032;C:411510218;G:422103800;T:517279706;N:0 944       549431032 411510218 422103800 517279706 0 ERX4273969 ERS4808635 ERA2764800 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       T   long read ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9924 9924 ERR4326350 ERX4273208 ERS4808398 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   430 LNA 6h rep1 430 LNA 6h rep1 SAMEA7047764 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05|External Id:SAMEA7047764|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 07 05T12:06:22Z|INSDC last update:2022 07 05T12:06:22Z|INSDC status:public|Submitter Id:JD H8 PDBN059569|common name:zebrafish|sample name:JD H8 PDBN059569                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 07 07 2020 10:25:22:388 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-H8_PDBN059569.tar.gz nanopore 722817654.0 657296.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 07 07 2020 10:25:22:388 1 0:1099.68 A:206996491;C:157022109;G:155085437;T:203713617;N:0 1099       206996491 157022109 155085437 203713617 0 ERX4273208 ERS4808398 ERA2764399 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       T   under 1.2% mapping rate ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9925 9925 ERR4335436 ERX4282181 ERS4818366 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 6h rep2 WT 6h rep2 JD W23 PRPN039928   ENA FIRST PUBLIC:2022 07 05T12:06:24Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:24Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 PromethION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 13 07 2020 18:19:23:456 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE PromethION   ERP122761 PromethION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-W23_PRPN039928.tar.gz nanopore 1268761319.0 1385621.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 13 07 2020 18:19:23:457 1 0:915.66 A:366823862;C:275507684;G:284634548;T:341795225;N:0 915       366823862 275507684 284634548 341795225 0 ERX4282181 ERS4818366 ERA2769006 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       T   under 1.2% mapping rate ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
9926 9926 ERR4321680 ERX4268538 ERS4808125 ERP122761 PRJEB39265 RNA dynamics during zebrafish development ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-06-07-2020-15:41:43:771-1183 Other RNA dynamics during early zebrafish development ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05   WT 0h rep1 WT 0h rep1 JD A1 GDDN003032   ENA FIRST PUBLIC:2022 07 05T12:06:22Z|organism:Danio rerio|ENA LAST UPDATE:2022 07 05T12:06:22Z|scientific name:Danio rerio|common name:zebrafish|ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05                 GridION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 06 07 2020 17:45:26:236 1 unspecified 1     RNA-Seq TRANSCRIPTOMIC Oligo-dT SINGLE OXFORD_NANOPORE GridION   ERP122761 GridION sequencing ENA FIRST PUBLIC:2022 07 05|ENA LAST UPDATE:2022 07 05 JD-A1_GDDN003032.tar.gz nanopore 753417826.0 698774.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 06 07 2020 17:45:26:236 1 0:1078.20 A:214525685;C:165042952;G:171160615;T:202688574;N:0 1078       214525685 165042952 171160615 202688574 0 ERX4268538 ERS4808125 ERA2763718 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                       T   long read ont ont unknown poly_a unknown bulk unknown unknown   Spain 2022-07-05 Undetermined Undetermined Undetermined Undetermined
10212 10212 ERR6511331 ERX6138167 ERS7264190 ERP131213 PRJEB46978 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore sequencing ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-12-08-2021-14:48:52:906-1159 Other Nano3P seq is a simple and robust method to accurately estimate transcript levels tail lengths and tail nucleotide composition information in full length individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28   Zebrafish Nano3P seq of PolyA selected sample biological replicate 1 including 4 hpf RNA Zebrafish PolyA 4 hpf SAMEA9541420 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2023 12 28T01:07:23Z|ENA LAST UPDATE:2023 12 28T01:07:23Z|External Id:SAMEA9541420|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2023 12 28T01:07:23Z|INSDC last update:2023 12 28T01:07:23Z|INSDC status:public|Submitter Id:Zebrafish PolyA 4 hpf|common name:zebrafish|sample name:Zebrafish PolyA 4 hpf|scientific name:Danio rerio                 MinION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 5 cDNA8523612 Nano3P seq Nano3P seq   OTHER TRANSCRIPTOMIC unspecified SINGLE OXFORD_NANOPORE MinION   ERP131213 MinION sequencing ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28 zebrafish_polya_4hpf.tar.gz nanopore 330562220.0 233101.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 5 0:1418.11 A:86572446;C:74232962;G:69203462;T:100553350;N:0 1418       86572446 74232962 69203462 100553350 0 ERX6138167 ERS7264190 ERA5757997 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG) 1 0.0   0.0   1.0       1536   T   long read ont ont full_length poly_a unknown bulk unknown unknown   Spain 2023-12-28 Blastula Embryo Undetermined Embryo Imprecise
10213 10213 ERR6511329 ERX6138165 ERS7264188 ERP131213 PRJEB46978 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore sequencing ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-12-08-2021-14:48:52:906-1159 Other Nano3P seq is a simple and robust method to accurately estimate transcript levels tail lengths and tail nucleotide composition information in full length individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28   Zebrafish Nano3P seq of Ribodepleted sample biological replicate 1 including 2 hpf 4 hpf 6 hpf RNAs Zebrafish Ribodep Rep1 SAMEA9541418 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2023 12 28T01:07:23Z|ENA LAST UPDATE:2023 12 28T01:07:23Z|External Id:SAMEA9541418|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2023 12 28T01:07:23Z|INSDC last update:2023 12 28T01:07:23Z|INSDC status:public|Submitter Id:Zebrafish Ribodep Rep1|common name:zebrafish|sample name:Zebrafish Ribodep Rep1|scientific name:Danio rerio                 MinION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 3 cDNA786327 Nano3P seq Nano3P seq   OTHER TRANSCRIPTOMIC unspecified SINGLE OXFORD_NANOPORE MinION   ERP131213 MinION sequencing ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28 zebrafish_ribodep_rep1.tar.gz nanopore 1745399583.0 1644167.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 3 0:1061.57 A:449704009;C:421915878;G:378879857;T:494899839;N:0 1061       449704009 421915878 378879857 494899839 0 ERX6138165 ERS7264188 ERA5757997 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG) 1 0.01112   0.0   0.99997   1.0   546   T   long read ont ont full_length rrna_depletion unknown bulk unknown unknown   Spain 2023-12-28 Multi-stage Embryo Undetermined Embryo Imprecise
10214 10214 ERR6617900 ERX6244443 ERS7291130 ERP131213 PRJEB46978 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore sequencing ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-12-08-2021-14:48:52:906-1159 Other Nano3P seq is a simple and robust method to accurately estimate transcript levels tail lengths and tail nucleotide composition information in full length individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28   PolyA selected dRNA sequenced zebrafish 4hpf RNA Zebrafish 4hpf dRNA SAMEA9568396 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2023 12 28T01:07:30Z|ENA LAST UPDATE:2023 12 28T01:07:30Z|External Id:SAMEA9568396|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2023 12 28T01:07:30Z|INSDC last update:2023 12 28T01:07:30Z|INSDC status:public|Submitter Id:Zebrafish 4hpf dRNA1|common name:zebrafish|sample name:Zebrafish 4hpf dRNA1|scientific name:Danio rerio                 MinION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 03 09 2021 14:33:13:450 1 dRNA Zebrafish Direct RNA Sequencing Direct RNA Sequencing   RNA-Seq TRANSCRIPTOMIC other SINGLE OXFORD_NANOPORE MinION   ERP131213 MinION sequencing ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28 Zebrafish_4hpf_dRNA.fast5.tar.gz nanopore 772304625.0 897768.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 03 09 2021 14:33:13:450 1 0:860.25 A:224977035;C:165273397;G:156659356;T:225394837;N:0 860       224977035 165273397 156659356 225394837 0 ERX6244443 ERS7291130 ERA5995143 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG) 1 0.5   0.0   0.99997   1.0   962   T   long read ont ont full_length poly_a unknown bulk unknown unknown   Spain 2023-12-28 Blastula Embryo Undetermined Embryo Imprecise
10215 10215 ERR6511330 ERX6138166 ERS7264189 ERP131213 PRJEB46978 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore sequencing ena-STUDY-CENTER FOR GENOMIC REGULATION (CRG)-12-08-2021-14:48:52:906-1159 Other Nano3P seq is a simple and robust method to accurately estimate transcript levels tail lengths and tail nucleotide composition information in full length individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28   Zebrafish Nano3P seq of Ribodepleted sample biological replicate 1 including 2 hpf 4 hpf 6 hpf RNAs Zebrafish Ribodep Rep2 SAMEA9541419 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2023 12 28T01:07:23Z|ENA LAST UPDATE:2023 12 28T01:07:23Z|External Id:SAMEA9541419|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2023 12 28T01:07:23Z|INSDC last update:2023 12 28T01:07:23Z|INSDC status:public|Submitter Id:Zebrafish Ribodep Rep2|common name:zebrafish|sample name:Zebrafish Ribodep Rep2|scientific name:Danio rerio                 MinION sequencing ena EXPERIMENT CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 4 cDNA123791 Nano3P seq Nano3P seq   OTHER TRANSCRIPTOMIC unspecified SINGLE OXFORD_NANOPORE MinION   ERP131213 MinION sequencing ENA FIRST PUBLIC:2023 12 28|ENA LAST UPDATE:2023 12 28 zebrafish_ribodep_rep2.tar.gz nanopore 2038398139.0 1955617.0 ena RUN CENTER FOR GENOMIC REGULATION CRG 17 08 2021 13:09:55:665 4 0:1042.33 A:518369802;C:477535545;G:441294056;T:601198736;N:0 1042       518369802 477535545 441294056 601198736 0 ERX6138166 ERS7264189 ERA5757997 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont full_length rrna_depletion unknown bulk unknown unknown   Spain 2023-12-28 Multi-stage Embryo Undetermined Embryo Imprecise
11042 11042 ERR9839781 ERX9385638 ERS12199238 ERP138294 PRJEB53494 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore cDNA sequencing 94bf5509-4622-4d5f-b7c5-6a14bdfac340 Other RNA polyadenylation plays a central role in RNA maturation fate and stability. In response to developmental cues polyA tail lengths can vary affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore three prime end capture sequencing Nano3P seq a novel method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance tail composition and tail length dynamics at per read resolution. By employing a template switching based sequencing protocol Nano3P seq can sequence any given RNA molecule from its three prime end regardless of its polyadenylation status without xxx need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P seq captures a wide diversity of RNA biotypes providing quantitative estimates of RNA abundance and tail lengths in mRNA lncRNA sn/snoRNA scaRNA and rRNA molecules. We find that in addition to mRNA and lncRNA polyA tails can be identified in 16S mitochondrial rRNA in both mouse and zebrafish models. Moreover we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform specific level correlating with mRNA decay. Finally we identify non A bases within polyA tails of various lengths and reveal their distribution during vertebrate embryogenesis. Overall Nano3P seq is a simple and robust method for accurately estimating transcript levels tail lengths and tail composition heterogeneity in individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10   Zebrafish Ribodepleted RNA 2hpf 4hpf 6hpf Zebrafish Ribodepleted Rep3 SAMEA110100413 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10|External Id:SAMEA110100413|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 10 10T00:20:53Z|INSDC last update:2022 10 10T00:20:53Z|INSDC status:public|Submitter Id:Zebrafish Ribodepleted Rep3|common name:zebrafish|sample name:Zebrafish Ribodepleted Rep3                 MinION sequencing ena EXPERIMENT TAB 13 06 2022 16:07:52:807 817 cDNA897892 ZFRDR3 1     RNA-Seq TRANSCRIPTOMIC other SINGLE OXFORD_NANOPORE MinION   ERP138294 MinION sequencing ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10 cDNA897892_ZFRDR3.tar.gz nanopore 848659575.0 587586.0 ena RUN TAB 13 06 2022 16:07:52:808 818 0:1444.32 A:210205014;C:186527780;G:188214279;T:263712502;N:0 1444       210205014 186527780 188214279 263712502 0 ERX9385638 ERS12199238 ERA15547404 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont 3prime poly_a unknown bulk unknown unknown   Spain 2022-10-10 Multi-stage Embryo Undetermined Embryo Imprecise
11043 11043 ERR9839780 ERX9385637 ERS12199237 ERP138294 PRJEB53494 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore cDNA sequencing 94bf5509-4622-4d5f-b7c5-6a14bdfac340 Other RNA polyadenylation plays a central role in RNA maturation fate and stability. In response to developmental cues polyA tail lengths can vary affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore three prime end capture sequencing Nano3P seq a novel method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance tail composition and tail length dynamics at per read resolution. By employing a template switching based sequencing protocol Nano3P seq can sequence any given RNA molecule from its three prime end regardless of its polyadenylation status without xxx need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P seq captures a wide diversity of RNA biotypes providing quantitative estimates of RNA abundance and tail lengths in mRNA lncRNA sn/snoRNA scaRNA and rRNA molecules. We find that in addition to mRNA and lncRNA polyA tails can be identified in 16S mitochondrial rRNA in both mouse and zebrafish models. Moreover we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform specific level correlating with mRNA decay. Finally we identify non A bases within polyA tails of various lengths and reveal their distribution during vertebrate embryogenesis. Overall Nano3P seq is a simple and robust method for accurately estimating transcript levels tail lengths and tail composition heterogeneity in individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10   Zebrafish Ribodepleted RNA 2hpf 4hpf 6hpf Zebrafish Ribodepleted Rep2 SAMEA110100412 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10|External Id:SAMEA110100412|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 10 10T00:20:53Z|INSDC last update:2022 10 10T00:20:53Z|INSDC status:public|Submitter Id:Zebrafish Ribodepleted Rep2|common name:zebrafish|sample name:Zebrafish Ribodepleted Rep2                 MinION sequencing ena EXPERIMENT TAB 13 06 2022 16:07:52:807 815 cDNA123791 ZFRDR2 1     RNA-Seq TRANSCRIPTOMIC other SINGLE OXFORD_NANOPORE MinION   ERP138294 MinION sequencing ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10 cDNA123791_ZFRDR2.tar.gz nanopore 2229275175.0 1955617.0 ena RUN TAB 13 06 2022 16:07:52:807 816 0:1139.93 A:533543922;C:498938137;G:515833119;T:680959997;N:0 1139       533543922 498938137 515833119 680959997 0 ERX9385637 ERS12199237 ERA15547404 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont 3prime poly_a unknown bulk unknown unknown   Spain 2022-10-10 Multi-stage Embryo Undetermined Embryo Imprecise
11044 11044 ERR9839779 ERX9385636 ERS12199236 ERP138294 PRJEB53494 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore cDNA sequencing 94bf5509-4622-4d5f-b7c5-6a14bdfac340 Other RNA polyadenylation plays a central role in RNA maturation fate and stability. In response to developmental cues polyA tail lengths can vary affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore three prime end capture sequencing Nano3P seq a novel method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance tail composition and tail length dynamics at per read resolution. By employing a template switching based sequencing protocol Nano3P seq can sequence any given RNA molecule from its three prime end regardless of its polyadenylation status without xxx need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P seq captures a wide diversity of RNA biotypes providing quantitative estimates of RNA abundance and tail lengths in mRNA lncRNA sn/snoRNA scaRNA and rRNA molecules. We find that in addition to mRNA and lncRNA polyA tails can be identified in 16S mitochondrial rRNA in both mouse and zebrafish models. Moreover we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform specific level correlating with mRNA decay. Finally we identify non A bases within polyA tails of various lengths and reveal their distribution during vertebrate embryogenesis. Overall Nano3P seq is a simple and robust method for accurately estimating transcript levels tail lengths and tail composition heterogeneity in individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10   Zebrafish Ribodepleted RNA 2hpf 4hpf 6hpf Zebrafish Ribodepleted Rep1 SAMEA110100411 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10|External Id:SAMEA110100411|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 10 10T00:20:53Z|INSDC last update:2022 10 10T00:20:53Z|INSDC status:public|Submitter Id:Zebrafish Ribodepleted Rep1|common name:zebrafish|sample name:Zebrafish Ribodepleted Rep1                 MinION sequencing ena EXPERIMENT TAB 13 06 2022 16:07:52:807 813 cDNA786327 ZFRDR1 1     RNA-Seq TRANSCRIPTOMIC other SINGLE OXFORD_NANOPORE MinION   ERP138294 MinION sequencing ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10 cDNA786327_ZFRDR1.tar.gz nanopore 1900613556.0 1660167.0 ena RUN TAB 13 06 2022 16:07:52:807 814 0:1144.83 A:473050820;C:438054520;G:425169743;T:564338473;N:0 1144       473050820 438054520 425169743 564338473 0 ERX9385636 ERS12199236 ERA15547404 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG)                             ont ont 3prime poly_a unknown bulk unknown unknown   Spain 2022-10-10 Multi-stage Embryo Undetermined Embryo Imprecise
11045 11045 ERR9839778 ERX9385635 ERS12199235 ERP138294 PRJEB53494 Nano3P seq: transcriptome wide analysis of gene expression and tail dynamics using end capture nanopore cDNA sequencing 94bf5509-4622-4d5f-b7c5-6a14bdfac340 Other RNA polyadenylation plays a central role in RNA maturation fate and stability. In response to developmental cues polyA tail lengths can vary affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore three prime end capture sequencing Nano3P seq a novel method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance tail composition and tail length dynamics at per read resolution. By employing a template switching based sequencing protocol Nano3P seq can sequence any given RNA molecule from its three prime end regardless of its polyadenylation status without xxx need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P seq captures a wide diversity of RNA biotypes providing quantitative estimates of RNA abundance and tail lengths in mRNA lncRNA sn/snoRNA scaRNA and rRNA molecules. We find that in addition to mRNA and lncRNA polyA tails can be identified in 16S mitochondrial rRNA in both mouse and zebrafish models. Moreover we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform specific level correlating with mRNA decay. Finally we identify non A bases within polyA tails of various lengths and reveal their distribution during vertebrate embryogenesis. Overall Nano3P seq is a simple and robust method for accurately estimating transcript levels tail lengths and tail composition heterogeneity in individual reads with minimal library preparation biases both in the coding and non coding transcriptome. ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10   Zebrafish PolyA Selected RNA 4hpf Zebrafish pA selected SAMEA110100410 CENTER FOR GENOMIC REGULATION (CRG) ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10|External Id:SAMEA110100410|INSDC center alias:CENTER FOR GENOMIC REGULATION CRG|INSDC center name:CENTER FOR GENOMIC REGULATION CRG|INSDC first public:2022 10 10T00:20:53Z|INSDC last update:2022 10 10T00:20:53Z|INSDC status:public|Submitter Id:Zebrafish pA selected|common name:zebrafish|sample name:Zebrafish pA selected                 MinION sequencing ena EXPERIMENT TAB 13 06 2022 16:07:52:807 811 cDNA852361 ZFPA4R1 1     RNA-Seq TRANSCRIPTOMIC other SINGLE OXFORD_NANOPORE MinION   ERP138294 MinION sequencing ENA FIRST PUBLIC:2022 10 10|ENA LAST UPDATE:2022 10 10 cDNA852361_ZFPA4R1.tar.gz nanopore 348224822.0 233101.0 ena RUN TAB 13 06 2022 16:07:52:807 812 0:1493.88 A:88963756;C:76104775;G:73909507;T:109246784;N:0 1493       88963756 76104775 73909507 109246784 0 ERX9385635 ERS12199235 ERA15547404 CENTER FOR GENOMIC REGULATION (CRG)|European Nucleotide Archive CENTER FOR GENOMIC REGULATION (CRG) 1 0.34147   0.26829   0.99993   0.16666   1537   T   long read ont ont 3prime poly_a unknown bulk unknown unknown   Spain 2022-10-10 Blastula Embryo Undetermined Embryo Imprecise
15504 15504 ERR757154 ERX701784 ERS659467 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Normalization across length SAMEA3251321 UNIVERSITY OF AMSTERDAM ENA first public:2015 02 12|ENA last update:2015 02 12|External Id:SAMEA3251321|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2015 02 12T17:06:49Z|INSDC last update:2015 02 12T09:52:20Z|INSDC status:public|Submitter Id:Female X|common name:zebrafish|dev stage:Adult|sample name:Female X|sex:female                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 12 02 2015 09:52:08:968 2 RID0035 1     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2015 02 12|ENA LAST UPDATE:2018 11 16 RID0035_003.fastq.gz fastq 275591336.0 7611054.0 ena RUN UNIVERSITY OF AMSTERDAM 12 02 2015 09:52:08:968 2 0:36.21 A:72212971;C:63331647;G:68054270;T:71992448;N:0 36       72212971 63331647 68054270 71992448 0 ERX701784 ERS659467 ERA410345 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.76262   0.4273   0.8101   0.56676   8   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2015-02-12 Adult Adult Undetermined Undetermined
15505 15505 ERR757153 ERX701783 ERS659466 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Normalization across length SAMEA3251320 UNIVERSITY OF AMSTERDAM ENA first public:2015 02 12|ENA last update:2015 02 12|External Id:SAMEA3251320|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2015 02 12T17:06:49Z|INSDC last update:2015 02 12T09:52:20Z|INSDC status:public|Submitter Id:Female 002|common name:zebrafish|dev stage:Adult|sample name:Female 002|sex:female                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 12 02 2015 09:52:08:968 1 RID0035 1     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2015 02 12|ENA LAST UPDATE:2018 11 16 RID0035_006.fastq.gz fastq 193706106.0 6343893.0 ena RUN UNIVERSITY OF AMSTERDAM 12 02 2015 09:52:08:968 1 0:30.53 A:52756888;C:42895374;G:46979869;T:51073975;N:0 30       52756888 42895374 46979869 51073975 0 ERX701783 ERS659466 ERA410345 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.74991   0.41319   0.83002   0.55823   8   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2015-02-12 Adult Adult Undetermined Undetermined
15506 15506 ERR647638 ERX604074 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 7 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_007.fastq.gz fastq 181485343.0 7581675.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 7 0:23.94 A:49408107;C:35660562;G:44520624;T:51896050;N:0 23       49408107 35660562 44520624 51896050 0 ERX604074 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75831   0.16017   0.90723   0.48684   13   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15507 15507 ERR647632 ERX604068 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 1 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_001.fastq.gz fastq 158714692.0 5407747.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 1 0:29.35 A:42098161;C:32991434;G:38596553;T:45028544;N:0 29       42098161 32991434 38596553 45028544 0 ERX604068 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75901   0.20293   0.89505   0.48215   24   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15508 15508 ERR647636 ERX604072 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 5 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_005.fastq.gz fastq 124167412.0 4838491.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 5 0:25.66 A:33439510;C:24728035;G:30897675;T:35102192;N:0 25       33439510 24728035 30897675 35102192 0 ERX604072 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.76027   0.17783   0.89692   0.48421   30   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15509 15509 ERR647635 ERX604071 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 4 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_004.fastq.gz fastq 124786630.0 4701452.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 4 0:26.54 A:33803418;C:24800330;G:30482560;T:35700322;N:0 26       33803418 24800330 30482560 35700322 0 ERX604071 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.74872   0.18448   0.89789   0.50377   12   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15510 15510 ERR647634 ERX604070 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 3 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_003.fastq.gz fastq 110526752.0 4078127.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 3 0:27.10 A:29453167;C:22981184;G:27444083;T:30648318;N:0 27       29453167 22981184 27444083 30648318 0 ERX604070 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.73961   0.1804   0.89686   0.50069   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15511 15511 ERR647633 ERX604069 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 2 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_002.fastq.gz fastq 114721515.0 4468497.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 2 0:25.67 A:31387085;C:22123581;G:28270438;T:32940411;N:0 25       31387085 22123581 28270438 32940411 0 ERX604069 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75767   0.17199   0.90118   0.49949   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15512 15512 ERR647645 ERX604081 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 14 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_014.fastq.gz fastq 127742942.0 5487454.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 14 0:23.28 A:35700746;C:25577569;G:31187339;T:35277288;N:0 23       35700746 25577569 31187339 35277288 0 ERX604081 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.72451   0.1507   0.91078   0.47283   30   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15513 15513 ERR647644 ERX604080 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 13 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_013.fastq.gz fastq 175319872.0 7193103.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 13 0:24.37 A:48008107;C:34657005;G:43047489;T:49607271;N:0 24       48008107 34657005 43047489 49607271 0 ERX604080 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75539   0.16288   0.90388   0.47538   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15514 15514 ERR647643 ERX604079 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 12 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_012.fastq.gz fastq 177443752.0 7567733.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 12 0:23.45 A:48143286;C:36300870;G:44060167;T:48939429;N:0 23       48143286 36300870 44060167 48939429 0 ERX604079 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.74839   0.15018   0.90782   0.49076   27   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15515 15515 ERR647642 ERX604078 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 11 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_011.fastq.gz fastq 163389373.0 6320373.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 11 0:25.85 A:44540588;C:32608476;G:40066295;T:46174014;N:0 25       44540588 32608476 40066295 46174014 0 ERX604078 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75948   0.17375   0.90252   0.47536   33   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15516 15516 ERR647641 ERX604077 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 10 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_010.fastq.gz fastq 128059692.0 5701206.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 10 0:22.46 A:35418188;C:24802528;G:31593786;T:36245190;N:0 22       35418188 24802528 31593786 36245190 0 ERX604077 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.72586   0.1331   0.92514   0.4216   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15517 15517 ERR647637 ERX604073 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:678 6 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_006.fastq.gz fastq 165327404.0 6835740.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 6 0:24.19 A:45252916;C:32442683;G:40306020;T:47325785;N:0 24       45252916 32442683 40306020 47325785 0 ERX604073 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.74944   0.16   0.91068   0.47704   21   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15518 15518 ERR647640 ERX604076 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 9 RID0015 Reproducibility     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_009.fastq.gz fastq 134426587.0 5846482.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 9 0:22.99 A:36803811;C:26283055;G:33442229;T:37897492;N:0 22       36803811 26283055 33442229 37897492 0 ERX604076 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.74219   0.13958   0.91837   0.47819   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15519 15519 ERR647639 ERX604075 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 8 RID0015 Fold Change     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0015_008.fastq.gz fastq 164369360.0 6762174.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:26:05:679 8 0:24.31 A:44826982;C:33030972;G:40615427;T:45895979;N:0 24       44826982 33030972 40615427 45895979 0 ERX604075 ERS557914 ERA363852 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.75513   0.16254   0.90534   0.50535   22   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15520 15520 ERR647623 ERX604059 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:08:22:087 8 RID0017 EtOH conc. experiment     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0017_008.fastq.gz fastq 198146766.0 7373392.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:08:22:087 8 0:26.87 A:50518864;C:42346985;G:50683068;T:54597849;N:0 26       50518864 42346985 50683068 54597849 0 ERX604059 ERS557914 ERA363851 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.73719   0.16567   0.89869   0.49695   76   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined
15521 15521 ERR647622 ERX604058 ERS557914 ERP007147 PRJEB7420 Two Sets of Synthetic Spike in Controls for Size Selection and Data Normalisation in small RNA seq ena-STUDY-UNIVERSITY OF AMSTERDAM-01-10-2014-14:02:22:856-622 Other There is an increasing interest in complementing standard RNA seq experiments with small RNA expression data to obtain a comprehensive view of the transcriptome. Two aspects need to be considered when small RNA seq sRNA seq is used. First sRNA seq protocols are size selective and typically optimized for sequencing miRNAs. Second given the dynamic composition of the small RNA fraction a reliable normalization strategy is needed to identify differentially expressed sRNAs. To address both issues we here present two sets of synthetic RNA spike in controls for monitoring size selectivity and for performing normalization. Size spike ins comprising 18 oligoribonucleotides 10–300 nucleotides were designed and tested using controlled modifications to the size selectivity of sRNA seq. As an applied example the loss of RNA molecules <30 nucleotides during small RNA isolation from zebrafish oocytes is demonstrated. Normalization spike ins comprising 19 oligoribonucleotides were designed to use as an external reference for DESeq normalization. Spike in based normalization improved the quantification of predetermined fold changes. Lastly sRNA seq on female and male zebrafish demonstrated that the higher miRNA content in males was correctly preserved post spike in based normalization.       Male 001 SAMEA2796299 UNIVERSITY OF AMSTERDAM Alias:Male 001|ENA checklist:ERC000011|INSDC center alias:UNIVERSITY OF AMSTERDAM|INSDC center name:UNIVERSITY OF AMSTERDAM|INSDC first public:2014 11 29T17:02:28Z|INSDC last update:2014 10 01T14:42:44Z|INSDC status:public|SRA accession:ERS557914|Sample Name:ERS557914|Title:Male ZF|dev stage:Adult|sex:male|strain:ABxTL                 Ion Torrent Proton sequencing ena EXPERIMENT UNIVERSITY OF AMSTERDAM 01 10 2014 15:08:22:087 7 RID0017 EtOH conc. experiment     miRNA-Seq TRANSCRIPTOMIC cDNA SINGLE ION_TORRENT Ion Torrent Proton   ERP007147 Ion Torrent Proton sequencing ENA FIRST PUBLIC:2014 11 29|ENA LAST UPDATE:2018 11 16 RID0017_007.fastq.gz fastq 240260456.0 9194064.0 ena RUN UNIVERSITY OF AMSTERDAM 01 10 2014 15:08:22:087 7 0:26.13 A:62434032;C:50861577;G:60916218;T:66048629;N:0 26       62434032 50861577 60916218 66048629 0 ERX604058 ERS557914 ERA363851 UNIVERSITY OF AMSTERDAM UNIVERSITY OF AMSTERDAM 1 0.73042   0.17017   0.89509   0.51784   44   B   usable mapping rate ion_torrent ion_torrent unknown small_rna unknown bulk unknown unknown   Netherlands 2014-10-01 Adult Adult Undetermined Undetermined

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CREATE TABLE run_metadata("run.accession" VARCHAR, "experiment.accession" VARCHAR, "sample.accession" VARCHAR, "study.accession" VARCHAR, bioproject VARCHAR, "study.title" VARCHAR, "study.alias" VARCHAR, "study.type" VARCHAR, "study.abstract" VARCHAR, "study.attributes" VARCHAR, "study.PMIDs" VARCHAR, "sample.description" VARCHAR, "sample.title" VARCHAR, "sample.alias" VARCHAR, "sample.centername" VARCHAR, "sample.attributes" VARCHAR, "GEOsample.title" VARCHAR, "GEOsample.dataprocessing" VARCHAR, "GEOsample.source" VARCHAR, "GEOsample.treatmentprotocol" VARCHAR, "GEOsample.extractprotocol" VARCHAR, "GEOsample.growthprotocol" VARCHAR, "GEOsample.characteristics" VARCHAR, "GEOsample.accession" VARCHAR, "experiment.title" VARCHAR, "experiment.alias" VARCHAR, "experiment.library_name" VARCHAR, "experiment.design_description" VARCHAR, "experiment.library_construction_protocol" VARCHAR, "experiment.attributes" VARCHAR, "experiment.library_strategy" VARCHAR, "experiment.library_source" VARCHAR, "experiment.library_selection" VARCHAR, "experiment.library_layout" VARCHAR, "experiment.platform" VARCHAR, "experiment.instrument_model" VARCHAR, "experiment.spot_descriptor" VARCHAR, "experiment.study_ref" VARCHAR, "run.title" VARCHAR, "run.attributes" VARCHAR, "run.filename" VARCHAR, "run.semantic_name" VARCHAR, "run.total_bases" DOUBLE, "run.total_spots" DOUBLE, "run.alias" VARCHAR, "run.read_lengths" VARCHAR, "run.base_counts" VARCHAR, "run.r1_length" BIGINT, "run.r2_length" BIGINT, "run.r3_length" BIGINT, "run.r4_length" BIGINT, "run.Acount" BIGINT, "run.Ccount" BIGINT, "run.Gcount" BIGINT, "run.Tcount" BIGINT, "run.Ncount" BIGINT, "run.experiment" VARCHAR, "run.pool_member" VARCHAR, "submission.accession" VARCHAR, "submission.srasource" VARCHAR, "submission.bioprojectsource" VARCHAR, "seqdetective.n_mates" BIGINT, "seqdetective.mapping_rate.mate1" DOUBLE, "seqdetective.mapping_rate.mate2" DOUBLE, "seqdetective.nofeature_rate.mate1" DOUBLE, "seqdetective.nofeature_rate.mate2" DOUBLE, "seqdetective.sparsity.mate1" DOUBLE, "seqdetective.sparsity.mate2" DOUBLE, "seqdetective.pos_strand_rate.mate1" DOUBLE, "seqdetective.pos_strand_rate.mate2" DOUBLE, "seqdetective.readlen.mate1" BIGINT, "seqdetective.readlen.mate2" BIGINT, "seqdetective.judgement.mate1" VARCHAR, "seqdetective.judgement.mate2" VARCHAR, "seqdetective.judgement.reason" VARCHAR, platform_family VARCHAR, instrument_generation VARCHAR, read_bias VARCHAR, selection_class VARCHAR, prep_kit VARCHAR, sc_or_bulk VARCHAR, tech_class VARCHAR, technology VARCHAR, tech_variant VARCHAR, "submission.bioprojectsource.country" VARCHAR, earliest_date DATE, devstage_curation VARCHAR, devstage_curation_coarse VARCHAR, tissue_curation VARCHAR, tissue_curation_coarse VARCHAR);;
CREATE INDEX idx_run_bioproject ON run_metadata(bioproject);;
CREATE INDEX idx_run_run_accession ON run_metadata("run.accession");;