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dc.contributor.authorCabili, Moran N.
dc.contributor.authorTrapnell, Cole
dc.contributor.authorGoff, Loyal
dc.contributor.authorKoziol, Magdalena J.
dc.contributor.authorTazon-Vega, Barbara
dc.contributor.authorRegev, Aviv
dc.contributor.authorRinn, John L.
dc.date.accessioned2014-02-21T16:08:20Z
dc.date.available2014-02-21T16:08:20Z
dc.date.issued2011-09
dc.date.submitted2011-07
dc.identifier.issn0890-9369
dc.identifier.urihttp://hdl.handle.net/1721.1/85065
dc.description.abstractLarge intergenic noncoding RNAs (lincRNAs) are emerging as key regulators of diverse cellular processes. Determining the function of individual lincRNAs remains a challenge. Recent advances in RNA sequencing (RNA-seq) and computational methods allow for an unprecedented analysis of such transcripts. Here, we present an integrative approach to define a reference catalog of >8000 human lincRNAs. Our catalog unifies previously existing annotation sources with transcripts we assembled from RNA-seq data collected from ∼4 billion RNA-seq reads across 24 tissues and cell types. We characterize each lincRNA by a panorama of >30 properties, including sequence, structural, transcriptional, and orthology features. We found that lincRNA expression is strikingly tissue-specific compared with coding genes, and that lincRNAs are typically coexpressed with their neighboring genes, albeit to an extent similar to that of pairs of neighboring protein-coding genes. We distinguish an additional subset of transcripts that have high evolutionary conservation but may include short ORFs and may serve as either lincRNAs or small peptides. Our integrated, comprehensive, yet conservative reference catalog of human lincRNAs reveals the global properties of lincRNAs and will facilitate experimental studies and further functional classification of these genes.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Director’s New Innovator Awards (1DP2OD00667-01)en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.)en_US
dc.description.sponsorshipMerkin Family Foundation for Stem Cell Researchen_US
dc.description.sponsorshipBurroughs Wellcome Funden_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Pioneer Award)en_US
dc.description.sponsorshipDamon Runyon Cancer Research Foundationen_US
dc.description.sponsorshipHuman Frontier Science Program (Strasbourg, France) (Fellow)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Post-doctoral Fellow)en_US
dc.language.isoen_US
dc.publisherCold Spring Harbor Laboratory Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1101/gad.17446611en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/en_US
dc.sourceGenes and Developmenten_US
dc.titleIntegrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclassesen_US
dc.typeArticleen_US
dc.identifier.citationCabili, M. N., C. Trapnell, L. Goff, M. Koziol, B. Tazon-Vega, A. Regev, and J. L. Rinn. “Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses.” Genes & Development 25, no. 18 (September 21, 2011): 1915-1927.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorGoff, Loyalen_US
dc.contributor.mitauthorRegev, Aviven_US
dc.relation.journalGenes & Developmenten_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.orderedauthorsCabili, M. N.; Trapnell, C.; Goff, L.; Koziol, M.; Tazon-Vega, B.; Regev, A.; Rinn, J. L.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8567-2049
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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