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dc.contributor.authorAdelman, Karen
dc.contributor.authorPai, Athma A.
dc.contributor.authorPaggi, Joseph M.
dc.contributor.authorYang, Paul L
dc.contributor.authorBurge, Christopher B
dc.date.accessioned2018-10-22T16:55:11Z
dc.date.available2018-10-22T16:55:11Z
dc.date.issued2018-08
dc.date.submitted2018-04
dc.identifier.issn1553-7404
dc.identifier.urihttp://hdl.handle.net/1721.1/118649
dc.description.abstractRecursive splicing, a process by which a single intron is removed from pre-mRNA transcripts in multiple distinct segments, has been observed in a small subset of Drosophila melanogaster introns. However, detection of recursive splicing requires observation of splicing intermediates that are inherently unstable, making it difficult to study. Here we developed new computational approaches to identify recursively spliced introns and applied them, in combination with existing methods, to nascent RNA sequencing data from Drosophila S2 cells. These approaches identified hundreds of novel sites of recursive splicing, expanding the catalog of recursively spliced fly introns by 4-fold. A subset of recursive sites were validated by RT-PCR and sequencing. Recursive sites occur in most very long (> 40 kb) fly introns, including many genes involved in morphogenesis and development, and tend to occur near the midpoints of introns. Suggesting a possible function for recursive splicing, we observe that fly introns with recursive sites are spliced more accurately than comparably sized non-recursive introns.en_US
dc.description.sponsorshipJane Coffin Childs Memorial Fund for Medical Research (Postdoctoral Fellowhsip)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant R01-GM085319)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Intramural Research Programen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pgen.1007588en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleNumerous recursive sites contribute to accuracy of splicing in long introns in fliesen_US
dc.typeArticleen_US
dc.identifier.citationPai, Athma A., Joseph M. Paggi, Paul Yan, Karen Adelman, and Christopher B. Burge. “Numerous Recursive Sites Contribute to Accuracy of Splicing in Long Introns in Flies.” Edited by Hiten D. Madhani. PLOS Genetics 14, no. 8 (August 27, 2018): e1007588.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_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.mitauthorPai, Athma A.
dc.contributor.mitauthorPaggi, Joseph M.
dc.contributor.mitauthorYang, Paul L
dc.contributor.mitauthorBurge, Christopher B
dc.relation.journalPLOS Geneticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-10-22T15:40:51Z
dspace.orderedauthorsPai, Athma A.; Paggi, Joseph M.; Yan, Paul; Adelman, Karen; Burge, Christopher B.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7995-9948
mit.licensePUBLISHER_CCen_US


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