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58 rows where experiment.library_layout = "SINGLE", experiment.library_strategy = "OTHER" and tissue_curation_coarse = "Embryo Imprecise"

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devstage_curation 6

experiment.library_selection 4

experiment.platform 3

tissue_curation_coarse 1

  • Embryo Imprecise · 58 ✖

tissue_curation 1

technology 1

experiment.library_strategy 1

  • OTHER · 58 ✖

experiment.library_source 1

experiment.library_layout 1

  • SINGLE · 58 ✖

devstage_curation_coarse 1

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
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
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
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
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
29745 29745 SRR27467678 SRX23139228 SRS20090268 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs mock R2   strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs mock rep2 EV04001 EV04001 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV04001.R1.fastq.gz fastq 970037880.0 6928842.0 EV04001.R1.fastq.gz 0:140 A:258735538;C:237798398;G:268588390;T:204871983;N:43571 140       258735538 237798398 268588390 204871983 43571 SRX23139228 SRS20090268 SRA1781872 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.0   0.0   1.0       140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-09 Undetermined Embryo Undetermined Embryo Imprecise
29761 29761 SRR27437481 SRX23109816 SRS20064569 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs BS R3   strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:BS|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs BS rep3 EV07003 EV07003 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV07003.R1.fastq.gz fastq 688960160.0 4921144.0 EV07003.R1.fastq.gz 0:140 A:187831021;C:119362814;G:195214528;T:186533242;N:18555 140       187831021 119362814 195214528 186533242 18555 SRX23109816 SRS20064569 SRA1780298 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.0   0.0   1.0       140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-06 Undetermined Embryo Undetermined Embryo Imprecise
29762 29762 SRR27437482 SRX23109815 SRS20064568 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs DM R3   strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:DM|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs DM rep3 EV07002 EV07002 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV07002.R1.fastq.gz fastq 520725380.0 3719467.0 EV07002.R1.fastq.gz 0:140 A:138972126;C:125739732;G:142785467;T:113214166;N:13889 140       138972126 125739732 142785467 113214166 13889 SRX23109815 SRS20064568 SRA1780298 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.00014   1e-05   0.99969   0.5   140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-06 Undetermined Embryo Undetermined Embryo Imprecise
29763 29763 SRR27437483 SRX23109814 SRS20064570 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs mock R3   strain:TLAB fish|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs mock rep3 EV07001 EV07001 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV07001.R1.fastq.gz fastq 684538960.0 4889564.0 EV07001.R1.fastq.gz 0:140 A:178906891;C:169237174;G:192342342;T:144034095;N:18458 140       178906891 169237174 192342342 144034095 18458 SRX23109814 SRS20064570 SRA1780298 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.0001   1e-05   0.99977   0.76923   140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-06 Undetermined Embryo Undetermined Embryo Imprecise
29782 29782 SRR27435867 SRX23108229 SRS20063067 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs BS R4   strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:BS|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs BS rep4 EV08006 EV08006 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV08006.R1.fastq.gz fastq 501745580.0 3583897.0 EV08006.R1.fastq.gz 0:140 A:124242793;C:76040623;G:131428076;T:170000220;N:33868 140       124242793 76040623 131428076 170000220 33868 SRX23108229 SRS20063067 SRA1780265 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 4e-05   0.0   0.99993   0.66666   140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-05 Undetermined Embryo Undetermined Embryo Imprecise
29783 29783 SRR27435868 SRX23108228 SRS20063063 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs DM R4   strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:DM|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs DM rep4 EV08005 EV08005 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV08005.R1.fastq.gz fastq 740147520.0 5286768.0 EV08005.R1.fastq.gz 0:140 A:192131338;C:198130943;G:182616631;T:167216834;N:51774 140       192131338 198130943 182616631 167216834 51774 SRX23108228 SRS20063063 SRA1780265 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.00052   8e-05   0.99922   0.92537   140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-05 Undetermined Embryo Undetermined Embryo Imprecise
29784 29784 SRR27435869 SRX23108227 SRS20063065 SRP482074 PRJNA1061456 tRAM seq: tRNA abundance and modification analysis during zebrafish embryo development PRJNA1061456 Other           eggs mock R4   strain:TLAB fish|isolate:NA|breed:cross of zebrafish AB and the natural variant TL Tupfel Longfin|cultivar:NA|ecotype:NA|dev stage:activated eggs|collection date:2022|geo loc name:Austria|sex:mixed|tissue:activated eggs|treatment:mock|BioSampleModel:Model organism or animal                 tRAM seq of zebrafish: eggs mock rep4 EV08004 EV08004 RNA was extracted with Trizol tRNA isolated by size selection on denaturing polyacrylamide gel range 50 150 nt. The RNA was end repaired by alkaline deacylation and T4 PNK treatment three prime adapter ligated with T4 RNA ligase 2 reverse transcribed with TGIRT. The cDNA was circularized with CircLigase and amplified with KAPA HiFi polymerase using NEB Next indexed primers.     OTHER TRANSCRIPTOMIC size fractionation SINGLE ILLUMINA NextSeq 500   SRP482074     EV08004.R1.fastq.gz fastq 761663140.0 5440451.0 EV08004.R1.fastq.gz 0:140 A:194684966;C:192212418;G:196372829;T:178340184;N:52743 140       194684966 192212418 196372829 178340184 52743 SRX23108227 SRS20063065 SRA1780265 Medical University of Vienna|Cell and Developmental Biology Medical University of Vienna 1 0.00151   0.00037   0.99884   0.82352   140   T   under 1.2% mapping rate illumina nextseq unknown size_fractionation nebnext bulk unknown unknown   Austria 2024-01-05 Undetermined Embryo Undetermined Embryo Imprecise
36423 36423 SRR516547 SRX156325 SRS347201 SRP013950 PRJNA169500 Danio rerio embryonic promoterome PRJNA169500 Transcriptome Analysis Goal of this study is to generate genome wide maps of transcription initiation throughout early embryonic development of zebrafish Danio rerio. Cap analysis of gene expression CAGE is used to detect transcription start sites at 1bp resolution. CAGE data is complemented by ChIPseq datasets for promoter associated histone modifications to study dynamic changes of promoter usage and chromatin configuration throughout early embryonic development.   pubmed:24531765 Zebrafish wild type AB strain fertilized egg D. rerio fertilized egg D. rerio fertilized egg                     CAGE D. rerio fertilized egg CAGE D. rerio fertilized egg D. rerio fertilized egg 1     OTHER TRANSCRIPTOMIC CAGE SINGLE ILLUMINA Illumina Genome Analyzer IIx <SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>27</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR> SRP013950     CAGE_fertilized_egg.fastq fastq 160948350.0 5961050.0 CAGE D. rerio fertilized egg 0:27 A:42030009;C:34700589;G:45399755;T:38817997;N:0 27       42030009 34700589 45399755 38817997 0 SRX156325 SRS347201 SRA055273 University of Bergen ZEPROME consortium 1 0.49394   0.07554   0.81684   0.79759   27   B   usable mapping rate illumina early_illumina unknown cage unknown bulk unknown unknown   Unknown 2012-06-28 Undetermined Embryo Undetermined Embryo Imprecise
59497 59497 SRR11924327 SRX8469999 SRS6770650 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   small RNA oblong 2 GSM4591066   source name:oblong|tissue:oblong|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt small RNA oblong 2 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. oblong   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System.   tissue:oblong|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt GSM4591066 GSM4591066: small RNA oblong 2; Danio rerio; OTHER GSM4591066   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System. GEO Accession:GSM4591066 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent S5   SRP265951     small_RNA_oblong_stage_2.fastq fastq 131762340.0 2740821.0 GSM4591066 r1 0:48.07 A:36963883;C:35740715;G:33446415;T:25611327;N:0 48       36963883 35740715 33446415 25611327 0 SRX8469999 SRS6770650 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.5346   0.11052   0.8967   0.64134   72   B   usable mapping rate ion_torrent ion_torrent unknown rrna_depletion unknown bulk unknown unknown   Denmark 2020-06-04 Blastula Embryo Undetermined Embryo Imprecise
59498 59498 SRR11924326 SRX8469998 SRS6770649 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   small RNA oblong 1 GSM4591065   source name:oblong|tissue:oblong|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt small RNA oblong 1 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. oblong   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System.   tissue:oblong|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt GSM4591065 GSM4591065: small RNA oblong 1; Danio rerio; OTHER GSM4591065   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System. GEO Accession:GSM4591065 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent S5   SRP265951     small_RNA_oblong_stage_1.fastq fastq 90701340.0 2141489.0 GSM4591065 r1 0:42.35 A:25203959;C:24291162;G:23143516;T:18062703;N:0 42       25203959 24291162 23143516 18062703 0 SRX8469998 SRS6770649 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.48132   0.15952   0.8756   0.56134   29   B   usable mapping rate ion_torrent ion_torrent unknown rrna_depletion unknown bulk unknown unknown   Denmark 2020-06-04 Blastula Embryo Undetermined Embryo Imprecise
59499 59499 SRR11924325 SRX8469997 SRS6770648 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   small RNA 32 cell GSM4591064   source name:32 cell stage|tissue:32 cell stage|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt small RNA 32 cell Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 32 cell stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System.   tissue:32 cell stage|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt GSM4591064 GSM4591064: small RNA 32 cell; Danio rerio; OTHER GSM4591064   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System. GEO Accession:GSM4591064 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent S5   SRP265951     small_RNA_32_cell_stage.fastq fastq 275040056.0 6091077.0 GSM4591064 r1 0:45.15 A:69136092;C:69806677;G:72527986;T:63569301;N:0 45       69136092 69806677 72527986 63569301 0 SRX8469997 SRS6770648 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.67676   0.30881   0.86636   0.63482   22   B   usable mapping rate ion_torrent ion_torrent unknown rrna_depletion unknown bulk unknown unknown   Denmark 2020-06-04 Cleavage Embryo Undetermined Embryo Imprecise
59500 59500 SRR11924324 SRX8469996 SRS6770647 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   small RNA 15E GSM4591063   source name:zfs:0000015|tissue:zfs:0000015|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt small RNA 15E Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. zfs:0000015   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System.   tissue:zfs:0000015|rna fraction:whole cell RNA depleted for rRNA and size selected for RNA < 200 nt GSM4591063 GSM4591063: small RNA 15E; Danio rerio; OTHER GSM4591063   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. For small RNA library construction one ug of whole cell RNA was subjected to rRNA depletion using the RiboMinusT Eukaryote System v2 Invitrogen and small RNA libraries were constructed using Ion Total RNA Seq Kit v2 ThermoFisher Scientific with minor modifications. In short the rRNA depleted RNA samples were enriched for small RNA <200 nt using the magnetic bead clean up module supplied with the kit or MonarchR RNA Cleanup Kit New England Biolabs adapters diluted 1:2 were ligated to the RNA for 2 h and the RNA subsequently reverse transcribed using Superscript IV ThermoFisher Scientific. The cDNA was purified using the magnetic bead clean up module without xxx selection. Amplification of cDNA and purification was performed according to the manufacturer. Manual template preparation of libraries was carried out on the Ion OneTouchTM 2 System ThermoFisher Scientific and sequenced on Ion 540TM chips the Ion GeneStudio S5 System. GEO Accession:GSM4591063 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent S5   SRP265951     small_RNA_15E_stage.fastq fastq 264453879.0 5777826.0 GSM4591063 r1 0:45.77 A:63859672;C:67381369;G:71681258;T:61531580;N:0 45       63859672 67381369 71681258 61531580 0 SRX8469996 SRS6770647 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.60375   0.23463   0.87606   0.58681   40   B   usable mapping rate ion_torrent ion_torrent unknown rrna_depletion unknown bulk unknown unknown   Denmark 2020-06-04 Blastula Embryo Undetermined Embryo Imprecise
59506 59506 SRR11924315 SRX8469989 SRS6770640 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   12 somite 3 GSM4591057   source name:12 somite stage|tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA 12 somite 3 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 12 somite stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591057 GSM4591057: 12 somite 3; Danio rerio; OTHER GSM4591057   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591057 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 12_somite_3.bam GSE151797_Reference_sequence.fa bam bam 105146264.0 3189309.0 GSM4591057 r1 0:32.97 A:24684898;C:33906144;G:26247070;T:20308152;N:0 32       24684898 33906144 26247070 20308152 0 SRX8469989 SRS6770640 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.83304   0.22816   0.88325   0.69597   43   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Segmentation Embryo Undetermined Embryo Imprecise
59507 59507 SRR11924314 SRX8469988 SRS6770639 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   12 somite 2 GSM4591056   source name:12 somite stage|tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA 12 somite 2 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 12 somite stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591056 GSM4591056: 12 somite 2; Danio rerio; OTHER GSM4591056   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591056 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 12_somite_2.bam GSE151797_Reference_sequence.fa bam bam 255844263.0 7971494.0 GSM4591056 r1 0:32.09 A:53703561;C:85057062;G:64342817;T:52740823;N:0 32       53703561 85057062 64342817 52740823 0 SRX8469988 SRS6770639 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.79601   0.23342   0.90281   0.75464   40   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Segmentation Embryo Undetermined Embryo Imprecise
59508 59508 SRR11924312 SRX8469987 SRS6770638 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   12 somite 1 GSM4591055   source name:12 somite stage|tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA 12 somite 1 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 12 somite stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:12 somite stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591055 GSM4591055: 12 somite 1; Danio rerio; OTHER GSM4591055   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591055 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 12_somite_1.bam GSE151797_Reference_sequence.fa bam bam 254000103.0 7990851.0 GSM4591055 r1 0:31.79 A:52359510;C:82090735;G:62850013;T:56699845;N:0 31       52359510 82090735 62850013 56699845 0 SRX8469987 SRS6770638 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.69554   0.21063   0.88284   0.72326   43   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Segmentation Embryo Undetermined Embryo Imprecise
59509 59509 SRR11924311 SRX8469986 SRS6770637 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   32 cell 3 GSM4591054   source name:32 cell stage|tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA 32 cell 3 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 32 cell stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591054 GSM4591054: 32 cell 3; Danio rerio; OTHER GSM4591054   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591054 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 32_cell_3.bam GSE151797_Reference_sequence.fa bam bam 306452866.0 9472058.0 GSM4591054 r1 0:32.35 A:62923439;C:99486553;G:78734118;T:65308756;N:0 32       62923439 99486553 78734118 65308756 0 SRX8469986 SRS6770637 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.69616   0.21356   0.91885   0.77399   44   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Cleavage Embryo Undetermined Embryo Imprecise
59510 59510 SRR11924310 SRX8469985 SRS6770636 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   32 cell 2 GSM4591053   source name:32 cell stage|tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA 32 cell 2 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 32 cell stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591053 GSM4591053: 32 cell 2; Danio rerio; OTHER GSM4591053   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591053 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 32_cell_2.bam GSE151797_Reference_sequence.fa bam bam 231900531.0 6985149.0 GSM4591053 r1 0:33.20 A:46033127;C:77390842;G:61355372;T:47121190;N:0 33       46033127 77390842 61355372 47121190 0 SRX8469985 SRS6770636 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.83429   0.25864   0.9137   0.78928   39   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Cleavage Embryo Undetermined Embryo Imprecise
59511 59511 SRR11924308 SRX8469984 SRS6770635 SRP265951 PRJNA637293 The shift from early to late types of ribosomes in zebrafish development involves changes at a subset of rRNA 2' O Me sites GSE151797 Other A sequencing based profiling method RiboMeth seq for ribose methylations was used to study methylation patterns during Zebrafish Danio rerio development Overall design: All samples were analyzed in biological triplicates except for adult tail trunk that was in duplicate.   pubmed:32912962   32 cell 1 GSM4591052   source name:32 cell stage|tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA 32 cell 1 Library strategy: RiboMeth seq Barcode separation using python script Adaptor trimming using Cutadapt v. 2.0 Mapping to rRNA reference sequence using Bowtie2 v. 2.3.4.1 Counting read ends and calculating RiboMeth seq scores using python scripts The output FASTA files from small RNA seq were merged and used as the basis of the SNORD search and rRNA interaction prediction. Initially SNORDs were identified by running the merged FASTA file through snoScan Schattner et al. 2005 against zebrafish early and late rRNA reference sequences Locati et al. 2017. Genome build: early and late zebrafish rRNA locati et al. The reference sequences are available in the FASTA file on the series record. Supplementary files format and content: MS Excel file contains five prime and three prime read count and calculated RiboMeth seq score at all positions in the rRNA sequence. 32 cell stage   Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description   tissue:32 cell stage|rna fraction:size fractionated 20 40 nt whole cell RNA GSM4591052 GSM4591052: 32 cell 1; Danio rerio; OTHER GSM4591052   1 Tissues were homogenized and whole cell RNA was extracted using Qiazol Qiagen according to the manufacturer. RiboMeth seq: 5 10 ug of RNA was partially degraded by alkaline at denaturing temperatures. The size fraction 20 40 nt was purified on gels and linkers added using a system relying on a modified Arabidopsis tRNA ligase joining 2' three prime cyclic phosphate and five prime phosphate ends. The library fragments were then sequenced on the Ion Proton platform. See Birkedal U Christensen Dalsgaard M Krogh N Sabarinathan R Gorodkin J Nielsen H. Profiling of ribose methylations in RNA by high throughput sequencing. Angewandte Chemie. 2015;542:451 5 for detailed description GEO Accession:GSM4591052 OTHER TRANSCRIPTOMIC other SINGLE ION_TORRENT Ion Torrent Proton   SRP265951   intentional duplicate 32_cell_1.bam GSE151797_Reference_sequence.fa bam bam 252107732.0 7470443.0 GSM4591052 r1 0:33.75 A:53056857;C:79089015;G:65131744;T:54830116;N:0 33       53056857 79089015 65131744 54830116 0 SRX8469984 SRS6770635 SRA1083099 GEO RNA Group - Prof. Henrik Nielsen, Department of Cellular and Molecular Medicine, University of Copenhagen 1 0.78874   0.25062   0.89645   0.73533   48   B   usable mapping rate ion_torrent ion_torrent 5prime small_rna unknown bulk unknown unknown   Denmark 2020-06-04 Cleavage Embryo Undetermined Embryo Imprecise

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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");;