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  4. Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs

Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs

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Author(s)
Guttman, Mitchell
•
Garber, Manuel
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Levin, Joshua Z.
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Donaghey, Julie
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Robinson, James
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Adiconis, Xian
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Fan, Lin
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Koziol, Magdalena J.
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Gnirke, Andreas
•
Nusbaum, Chad
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Alternative Title
Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs
Date Issued
July 2010
Journal
Nature Biotechnology
Publisher
Nature Publishing Group
Citation
Guttman, Mitchell et al. “Ab Initio Reconstruction of Cell Type–specific Transcriptomes in Mouse Reveals the Conserved Multi-exonic Structure of lincRNAs.” Nature Biotechnology 28.5 (2010): 503–510. Web.
Version
Author's final manuscript
Abstract
RNA-Seq provides an unbiased way to study a transcriptome, including both coding and noncoding 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.
Description
available in PMC 2010 November 2.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/73946
DOI of Published Version
https://doi.org/10.1038/nbt.1633
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