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          Institute: MPI für molekulare Genetik     Collection: Department of Computational Molecular Biology     Display Documents



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ID: 405122.0, MPI für molekulare Genetik / Department of Computational Molecular Biology
A Global View of Gene Activity and Alternative Splicing by Deep Sequencing of the Human Transcriptome
Authors:Sultan, Marc; Schulz, Marcel H.; Hugues, Richard; Magen, Alon; Klingenhoff, Andreas; Scherf, Matthias; Seifert, Martin; Borodina, Tatjana; Soldatov, Aleksey; i Parkhomchuk, Dmitr; Schmidt, Dominic; O'Keeffe, Sean; Haas, Stefan; Vingron, Martin; Lehrach, Hans; Yaspo, Marie-Laure
Language:English
Research Context:Reports
Date of Publication (YYYY-MM-DD):2008-08-15
Title of Journal:Science
Journal Abbrev.:Scie
Volume:321
Issue / Number:5891
Start Page:956
End Page:960
Copyright:© 2008 American Association for the Advancement of Science. All Rights Reserved.
Review Status:not specified
Audience:Experts Only
Abstract / Description:The functional complexity of the human transcriptome is not yet fully elucidated. We report a high-throughput sequence of the human transcriptome from a human embryonic kidney and a B cell line. We used shotgun sequencing of transcripts to generate randomly distributed reads. Of these, 50% mapped to unique genomic locations, of which 80% corresponded to known exons. We found that 66% of the polyadenylated transcriptome mapped to known genes and 34% to nonannotated genomic regions. On the basis of known transcripts, RNA-Seq can detect 25% more genes than can microarrays. A global survey of messenger RNA splicing events identified 94,241 splice junctions (4096 of which were previously unidentified) and showed that exon skipping is the most prevalent form of alternative splicing.
Comment of the Author/Creator:To whom correspondence should be addressed:
E-mail: yaspo@molgen.mpg.de
Originally published in Science Express on 3 July 2008
External Publication Status:published
Document Type:Article
Communicated by:Martin Vingron
Affiliations:MPI für molekulare Genetik
External Affiliations:1.Genomatix Software Gmbh, Bayerstrasse 85a, 80335 Munich, Germany.
Identifiers:URL:http://www.sciencemag.org/cgi/reprint/321/5891/956...
DOI:10.1126/science.1160342
ISSN:0036-8075
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