Publications
Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq)
- Author(s)
- Julien Lagarde, Barbara Uszczynska-Ratajczak, Javier Santoyo-Lopez, Jose Manuel Gonzalez, Electra Tapanari, Jonathan M. Mudge, Charles A. Steward, Laurens Wilming, Andrea Tanzer, Cedric Howald, Jacqueline Chrast, Alicia Vela-Boza, Antonio Rueda, Francisco J. Lopez-Domingo, Joaquin Dopazo, Alexandre Reymond, Roderic Guigo, Jennifer Harrow
- Abstract
Long non-coding RNAs (lncRNAs) constitute a large, yet mostly uncharacterized fraction of the mammalian transcriptome. Such characterization requires a comprehensive, high-quality annotation of their gene structure and boundaries, which is currently lacking. Here we describe RACE-Seq, an experimental workflow designed to address this based on RACE (rapid amplification of cDNA ends) and long-read RNA sequencing. We apply RACE-Seq to 398 human lncRNA genes in seven tissues, leading to the discovery of 2,556 on-target, novel transcripts. About 60% of the targeted loci are extended in either 5′ or 3′, often reaching genomic hallmarks of gene boundaries. Analysis of the novel transcripts suggests that lncRNAs are as long, have as many exons and undergo as much alternative splicing as protein-coding genes, contrary to current assumptions. Overall, we show that RACE-Seq is an effective tool to annotate an organism's deep transcriptome, and compares favourably to other targeted sequencing techniques.
- Organisation(s)
- Department of Theoretical Chemistry
- External organisation(s)
- Barcelona Institute of Science & Technology, University of Edinburgh, Wellcome Trust Sanger Institute, European Bioinformatics Institute, Université de Lausanne, Geneva University Hospital, F. Hoffmann-La Roche AG, Centro de Investigación Príncipe Felipe, University Pompeu Fabra, Genomics and Bioinformatics Platform of Andalusia
- Journal
- Nature Communications
- Volume
- 7
- No. of pages
- 11
- ISSN
- 2041-1723
- DOI
- https://doi.org/10.1038/ncomms12339
- Publication date
- 08-2016
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106002 Biochemistry, 106023 Molecular biology
- Keywords
- ASJC Scopus subject areas
- General, General Physics and Astronomy, General Chemistry, General Biochemistry,Genetics and Molecular Biology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/658f6685-a746-4a4d-96c9-45762cf40e80
Projects
Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq)
- Author(s)
- Julien Lagarde, Barbara Uszczynska-Ratajczak, Javier Santoyo-Lopez, Jose Manuel Gonzalez, Electra Tapanari, Jonathan M. Mudge, Charles A. Steward, Laurens Wilming, Andrea Tanzer, Cedric Howald, Jacqueline Chrast, Alicia Vela-Boza, Antonio Rueda, Francisco J. Lopez-Domingo, Joaquin Dopazo, Alexandre Reymond, Roderic Guigo, Jennifer Harrow
- Abstract
Long non-coding RNAs (lncRNAs) constitute a large, yet mostly uncharacterized fraction of the mammalian transcriptome. Such characterization requires a comprehensive, high-quality annotation of their gene structure and boundaries, which is currently lacking. Here we describe RACE-Seq, an experimental workflow designed to address this based on RACE (rapid amplification of cDNA ends) and long-read RNA sequencing. We apply RACE-Seq to 398 human lncRNA genes in seven tissues, leading to the discovery of 2,556 on-target, novel transcripts. About 60% of the targeted loci are extended in either 5′ or 3′, often reaching genomic hallmarks of gene boundaries. Analysis of the novel transcripts suggests that lncRNAs are as long, have as many exons and undergo as much alternative splicing as protein-coding genes, contrary to current assumptions. Overall, we show that RACE-Seq is an effective tool to annotate an organism's deep transcriptome, and compares favourably to other targeted sequencing techniques.
- Organisation(s)
- Department of Theoretical Chemistry
- External organisation(s)
- Barcelona Institute of Science & Technology, University of Edinburgh, Wellcome Trust Sanger Institute, European Bioinformatics Institute, Université de Lausanne, Geneva University Hospital, F. Hoffmann-La Roche AG, Centro de Investigación Príncipe Felipe, University Pompeu Fabra, Genomics and Bioinformatics Platform of Andalusia
- Journal
- Nature Communications
- Volume
- 7
- No. of pages
- 11
- ISSN
- 2041-1723
- DOI
- https://doi.org/10.1038/ncomms12339
- Publication date
- 08-2016
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106002 Biochemistry, 106023 Molecular biology
- Keywords
- ASJC Scopus subject areas
- General, General Physics and Astronomy, General Chemistry, General Biochemistry,Genetics and Molecular Biology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/658f6685-a746-4a4d-96c9-45762cf40e80
Talks
Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq)
- Author(s)
- Julien Lagarde, Barbara Uszczynska-Ratajczak, Javier Santoyo-Lopez, Jose Manuel Gonzalez, Electra Tapanari, Jonathan M. Mudge, Charles A. Steward, Laurens Wilming, Andrea Tanzer, Cedric Howald, Jacqueline Chrast, Alicia Vela-Boza, Antonio Rueda, Francisco J. Lopez-Domingo, Joaquin Dopazo, Alexandre Reymond, Roderic Guigo, Jennifer Harrow
- Abstract
Long non-coding RNAs (lncRNAs) constitute a large, yet mostly uncharacterized fraction of the mammalian transcriptome. Such characterization requires a comprehensive, high-quality annotation of their gene structure and boundaries, which is currently lacking. Here we describe RACE-Seq, an experimental workflow designed to address this based on RACE (rapid amplification of cDNA ends) and long-read RNA sequencing. We apply RACE-Seq to 398 human lncRNA genes in seven tissues, leading to the discovery of 2,556 on-target, novel transcripts. About 60% of the targeted loci are extended in either 5′ or 3′, often reaching genomic hallmarks of gene boundaries. Analysis of the novel transcripts suggests that lncRNAs are as long, have as many exons and undergo as much alternative splicing as protein-coding genes, contrary to current assumptions. Overall, we show that RACE-Seq is an effective tool to annotate an organism's deep transcriptome, and compares favourably to other targeted sequencing techniques.
- Organisation(s)
- Department of Theoretical Chemistry
- External organisation(s)
- Barcelona Institute of Science & Technology, University of Edinburgh, Wellcome Trust Sanger Institute, European Bioinformatics Institute, Université de Lausanne, Geneva University Hospital, F. Hoffmann-La Roche AG, Centro de Investigación Príncipe Felipe, University Pompeu Fabra, Genomics and Bioinformatics Platform of Andalusia
- Journal
- Nature Communications
- Volume
- 7
- No. of pages
- 11
- ISSN
- 2041-1723
- DOI
- https://doi.org/10.1038/ncomms12339
- Publication date
- 08-2016
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106002 Biochemistry, 106023 Molecular biology
- Keywords
- ASJC Scopus subject areas
- General, General Physics and Astronomy, General Chemistry, General Biochemistry,Genetics and Molecular Biology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/658f6685-a746-4a4d-96c9-45762cf40e80
