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dc.contributor.authorRamsköld, Daniel
dc.contributor.authorSandberg, Rickard
dc.contributor.authorBurge, Christopher B
dc.contributor.authorWang, Eric T
dc.date.accessioned2010-09-15T17:44:41Z
dc.date.available2010-09-15T17:44:41Z
dc.date.issued2009-12
dc.date.submitted2009-07
dc.identifier.issn1553-7358
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/1721.1/58548
dc.description.abstractThe parts of the genome transcribed by a cell or tissue reflect the biological processes and functions it carries out. We characterized the features of mammalian tissue transcriptomes at the gene level through analysis of RNA deep sequencing (RNA-Seq) data across human and mouse tissues and cell lines. We observed that roughly 8,000 protein-coding genes were ubiquitously expressed, contributing to around 75% of all mRNAs by message copy number in most tissues. These mRNAs encoded proteins that were often intracellular, and tended to be involved in metabolism, transcription, RNA processing or translation. In contrast, genes for secreted or plasma membrane proteins were generally expressed in only a subset of tissues. The distribution of expression levels was broad but fairly continuous: no support was found for the concept of distinct expression classes of genes. Expression estimates that included reads mapping to coding exons only correlated better with qRT-PCR data than estimates which also included 3′ untranslated regions (UTRs). Muscle and liver had the least complex transcriptomes, in that they expressed predominantly ubiquitous genes and a large fraction of the transcripts came from a few highly expressed genes, whereas brain, kidney and testis expressed more complex transcriptomes with the vast majority of genes expressed and relatively small contributions from the most expressed genes. mRNAs expressed in brain had unusually long 3′UTRs, and mean 3′UTR length was higher for genes involved in development, morphogenesis and signal transduction, suggesting added complexity of UTR-based regulation for these genes. Our results support a model in which variable exterior components feed into a large, densely connected core composed of ubiquitously expressed intracellular proteins.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.)en_US
dc.description.sponsorshipKnut and Alice Wallenbergs Foundationen_US
dc.description.sponsorshipAke Wibergs Foundationen_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1000598en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleAn abundance of ubiquitously expressed genes revealed by tissue transcriptome sequence dataen_US
dc.typeArticleen_US
dc.identifier.citationRamsköld, Daniel et al. “An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data.” PLoS Comput Biol 5.12 (2009): e1000598.en_US
dc.contributor.departmentWhitaker College of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.approverBurge, Christopher B.
dc.contributor.mitauthorBurge, Christopher B.
dc.contributor.mitauthorWang, Eric T.
dc.relation.journalPLoS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsRamsköld, Daniel; Wang, Eric T.; Burge, Christopher B.; Sandberg, Rickarden
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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