High-throughput annotation of full-length long noncoding RNAs with capture long-read sequencing
RNA Capture Long Seq (CLS) is a new method for transcript annotation that combines targeted RNA capture with long-read sequencing. CLS reannotates GENCODE lncRNAs and increases the number of validated splice junctions and transcript models for targeted loci. Accurate annotation of genes and their tr...
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Published in | Nature genetics Vol. 49; no. 12; pp. 1731 - 1740 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.12.2017
Nature Publishing Group Nature Research |
Subjects | |
Online Access | Get full text |
ISSN | 1061-4036 1546-1718 1546-1718 |
DOI | 10.1038/ng.3988 |
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Abstract | RNA Capture Long Seq (CLS) is a new method for transcript annotation that combines targeted RNA capture with long-read sequencing. CLS reannotates GENCODE lncRNAs and increases the number of validated splice junctions and transcript models for targeted loci.
Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a result, reference gene collections remain incomplete—many gene models are fragmentary, and thousands more remain uncataloged, particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), which combines targeted RNA capture with third-generation long-read sequencing. Here we present an experimental reannotation of the GENCODE intergenic lncRNA populations in matched human and mouse tissues that resulted in novel transcript models for 3,574 and 561 gene loci, respectively. CLS approximately doubled the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enabled us to definitively characterize the genomic features of lncRNAs, including promoter and gene structure, and protein-coding potential. Thus, CLS removes a long-standing bottleneck in transcriptome annotation and generates manual-quality full-length transcript models at high-throughput scales. |
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AbstractList | Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a result, reference gene collections remain incomplete-many gene models are fragmentary, and thousands more remain uncataloged, particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), which combines targeted RNA capture with third-generation long-read sequencing. Here we present an experimental reannotation of the GENCODE intergenic lncRNA populations in matched human and mouse tissues that resulted in novel transcript models for 3,574 and 561 gene loci, respectively. CLS approximately doubled the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enabled us to definitively characterize the genomic features of lncRNAs, including promoter and gene structure, and protein-coding potential. Thus, CLS removes a long-standing bottleneck in transcriptome annotation and generates manual-quality full-length transcript models at high-throughput scales. Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a result, reference gene collections remain incomplete-many gene models are fragmentary, and thousands more remain uncataloged, particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), which combines targeted RNA capture with third-generation long-read sequencing. Here we present an experimental reannotation of the GENCODE intergenic lncRNA populations in matched human and mouse tissues that resulted in novel transcript models for 3,574 and 561 gene loci, respectively. CLS approximately doubled the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enabled us to definitively characterize the genomic features of lncRNAs, including promoter and gene structure, and protein-coding potential. Thus, CLS removes a long-standing bottleneck in transcriptome annotation and generates manual-quality full-length transcript models at high-throughput scales.Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a result, reference gene collections remain incomplete-many gene models are fragmentary, and thousands more remain uncataloged, particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), which combines targeted RNA capture with third-generation long-read sequencing. Here we present an experimental reannotation of the GENCODE intergenic lncRNA populations in matched human and mouse tissues that resulted in novel transcript models for 3,574 and 561 gene loci, respectively. CLS approximately doubled the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enabled us to definitively characterize the genomic features of lncRNAs, including promoter and gene structure, and protein-coding potential. Thus, CLS removes a long-standing bottleneck in transcriptome annotation and generates manual-quality full-length transcript models at high-throughput scales. Accurate annotations of genes and their transcripts is a foundation of genomics, but no annotation technique presently combines throughput and accuracy. As a result, reference gene collections remain incomplete: many gene models are fragmentary, while thousands more remain uncatalogued—particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), combining targeted RNA capture with third-generation long-read sequencing. We present an experimental re-annotation of the GENCODE intergenic lncRNA population in matched human and mouse tissues, resulting in novel transcript models for 3574 / 561 gene loci, respectively. CLS approximately doubles the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enable us to definitively characterize the genomic features of lncRNAs, including promoter- and gene-structure, and protein-coding potential. Thus CLS removes a longstanding bottleneck of transcriptome annotation, generating manual-quality full-length transcript models at high-throughput scales. RNA Capture Long Seq (CLS) is a new method for transcript annotation that combines targeted RNA capture with long-read sequencing. CLS reannotates GENCODE lncRNAs and increases the number of validated splice junctions and transcript models for targeted loci. Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a result, reference gene collections remain incomplete—many gene models are fragmentary, and thousands more remain uncataloged, particularly for long noncoding RNAs (lncRNAs). To accelerate lncRNA annotation, the GENCODE consortium has developed RNA Capture Long Seq (CLS), which combines targeted RNA capture with third-generation long-read sequencing. Here we present an experimental reannotation of the GENCODE intergenic lncRNA populations in matched human and mouse tissues that resulted in novel transcript models for 3,574 and 561 gene loci, respectively. CLS approximately doubled the annotated complexity of targeted loci, outperforming existing short-read techniques. Full-length transcript models produced by CLS enabled us to definitively characterize the genomic features of lncRNAs, including promoter and gene structure, and protein-coding potential. Thus, CLS removes a long-standing bottleneck in transcriptome annotation and generates manual-quality full-length transcript models at high-throughput scales. |
Audience | Academic |
Author | Davis, Carrie Harrow, Jennifer Abad, Amaya Frankish, Adam Johnson, Rory Guigo, Roderic Gingeras, Thomas R Lagarde, Julien Pérez-Lluch, Sílvia Carbonell, Silvia Uszczynska-Ratajczak, Barbara |
AuthorAffiliation | 4 Functional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA 2 Universitat Pompeu Fabra (UPF), Barcelona, Spain 3 R&D Department, Quantitative Genomic Medicine Laboratories (qGenomics), Barcelona, Spain 5 Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK CB10 1HH 1 Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain |
AuthorAffiliation_xml | – name: 2 Universitat Pompeu Fabra (UPF), Barcelona, Spain – name: 4 Functional Genomics Group, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA – name: 1 Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain – name: 5 Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK CB10 1HH – name: 3 R&D Department, Quantitative Genomic Medicine Laboratories (qGenomics), Barcelona, Spain |
Author_xml | – sequence: 1 givenname: Julien surname: Lagarde fullname: Lagarde, Julien organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF) – sequence: 2 givenname: Barbara surname: Uszczynska-Ratajczak fullname: Uszczynska-Ratajczak, Barbara organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF), Centre of New Technologies – sequence: 3 givenname: Silvia surname: Carbonell fullname: Carbonell, Silvia organization: R&D Department, Quantitative Genomic Medicine Laboratories (qGenomics) – sequence: 4 givenname: Sílvia orcidid: 0000-0002-6863-7193 surname: Pérez-Lluch fullname: Pérez-Lluch, Sílvia organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF) – sequence: 5 givenname: Amaya surname: Abad fullname: Abad, Amaya organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF) – sequence: 6 givenname: Carrie surname: Davis fullname: Davis, Carrie organization: Functional Genomics Group, Cold Spring Harbor Laboratory – sequence: 7 givenname: Thomas R surname: Gingeras fullname: Gingeras, Thomas R organization: Functional Genomics Group, Cold Spring Harbor Laboratory – sequence: 8 givenname: Adam surname: Frankish fullname: Frankish, Adam organization: Wellcome Trust Sanger Institute – sequence: 9 givenname: Jennifer surname: Harrow fullname: Harrow, Jennifer organization: Wellcome Trust Sanger Institute, Illumina – sequence: 10 givenname: Roderic orcidid: 0000-0002-5738-4477 surname: Guigo fullname: Guigo, Roderic email: roderic.guigo@crg.cat organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF) – sequence: 11 givenname: Rory orcidid: 0000-0003-4607-2782 surname: Johnson fullname: Johnson, Rory email: rory.johnson@dbmr.unibe.ch organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Universitat Pompeu Fabra (UPF), Department of Clinical Research, University of Bern |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29106417$$D View this record in MEDLINE/PubMed |
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Copyright | Springer Nature America, Inc. 2017 COPYRIGHT 2017 Nature Publishing Group Copyright Nature Publishing Group Dec 2017 info:eu-repo/semantics/openAccess © Nature Publishing Group. http://dx.doi.org/10.1038/ng.3988 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Present address: Department of Clinical Research, University of Bern, Murtenstrasse 35, 3010 Bern, Switzerland. Present address: Centre of New Technologies, S. Banacha 2C, 02-097 Warsaw, Poland Present address: Illumina, Cambridge, UK. Equal contribution |
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Snippet | RNA Capture Long Seq (CLS) is a new method for transcript annotation that combines targeted RNA capture with long-read sequencing. CLS reannotates GENCODE... Accurate annotation of genes and their transcripts is a foundation of genomics, but currently no annotation technique combines throughput and accuracy. As a... Accurate annotations of genes and their transcripts is a foundation of genomics, but no annotation technique presently combines throughput and accuracy. As a... |
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Title | High-throughput annotation of full-length long noncoding RNAs with capture long-read sequencing |
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