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Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs
RNA-Seq provides an unbiased way to study a transcriptome, including both coding and non-coding genes. To date, most RNA-Seq studies have critically depended on existing annotations, and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to rec...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2868100/ https://www.ncbi.nlm.nih.gov/pubmed/20436462 http://dx.doi.org/10.1038/nbt.1633 |
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author | Guttman, Mitchell Garber, Manuel Levin, Joshua Z. Donaghey, Julie Robinson, James Adiconis, Xian Fan, Lin Koziol, Magdalena J. Gnirke, Andreas Nusbaum, Chad Rinn, John L. Lander, Eric S. Regev, Aviv |
author_facet | Guttman, Mitchell Garber, Manuel Levin, Joshua Z. Donaghey, Julie Robinson, James Adiconis, Xian Fan, Lin Koziol, Magdalena J. Gnirke, Andreas Nusbaum, Chad Rinn, John L. Lander, Eric S. Regev, Aviv |
author_sort | Guttman, Mitchell |
collection | PubMed |
description | RNA-Seq provides an unbiased way to study a transcriptome, including both coding and non-coding genes. To date, most RNA-Seq studies have critically depended on existing annotations, and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to reconstruct the transcriptome of a mammalian cell using only RNA-Seq reads and the genome sequence. We apply it to mouse embryonic stem cells, neuronal precursor cells, and lung fibroblasts to accurately reconstruct the full-length gene structures for the vast majority of known expressed genes. We identify substantial variation in protein-coding genes, including thousands of novel 5′-start sites, 3′-ends, and internal coding exons. We then determine the gene structures of over a thousand lincRNA and antisense loci. Our results open the way to direct experimental manipulation of thousands of non-coding RNAs, and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes. |
format | Text |
id | pubmed-2868100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
record_format | MEDLINE/PubMed |
spelling | pubmed-28681002010-11-02 Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs Guttman, Mitchell Garber, Manuel Levin, Joshua Z. Donaghey, Julie Robinson, James Adiconis, Xian Fan, Lin Koziol, Magdalena J. Gnirke, Andreas Nusbaum, Chad Rinn, John L. Lander, Eric S. Regev, Aviv Nat Biotechnol Article RNA-Seq provides an unbiased way to study a transcriptome, including both coding and non-coding genes. To date, most RNA-Seq studies have critically depended on existing annotations, and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to reconstruct the transcriptome of a mammalian cell using only RNA-Seq reads and the genome sequence. We apply it to mouse embryonic stem cells, neuronal precursor cells, and lung fibroblasts to accurately reconstruct the full-length gene structures for the vast majority of known expressed genes. We identify substantial variation in protein-coding genes, including thousands of novel 5′-start sites, 3′-ends, and internal coding exons. We then determine the gene structures of over a thousand lincRNA and antisense loci. Our results open the way to direct experimental manipulation of thousands of non-coding RNAs, and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes. 2010-05-02 2010-05 /pmc/articles/PMC2868100/ /pubmed/20436462 http://dx.doi.org/10.1038/nbt.1633 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Guttman, Mitchell Garber, Manuel Levin, Joshua Z. Donaghey, Julie Robinson, James Adiconis, Xian Fan, Lin Koziol, Magdalena J. Gnirke, Andreas Nusbaum, Chad Rinn, John L. Lander, Eric S. Regev, Aviv Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title | Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title_full | Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title_fullStr | Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title_full_unstemmed | Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title_short | Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs |
title_sort | ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincrnas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2868100/ https://www.ncbi.nlm.nih.gov/pubmed/20436462 http://dx.doi.org/10.1038/nbt.1633 |
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