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dc.contributor.authorLin, Lin
dc.contributor.authorHolmes, Benjamin Ray
dc.contributor.authorShen, Max Walt
dc.contributor.authorGifford, David K
dc.date.accessioned2021-01-21T20:01:47Z
dc.date.available2021-01-21T20:01:47Z
dc.date.issued2020-11
dc.date.submitted2020-10
dc.identifier.issn2211-1247
dc.identifier.urihttps://hdl.handle.net/1721.1/129497
dc.description.abstractGene expression is controlled by the collective binding of transcription factors to cis-regulatory regions. Deciphering gene-centered regulatory networks is vital to understanding and controlling gene misexpression in human disease; however, systematic approaches to uncovering regulatory networks have been lacking. Here we present high-throughput interrogation of gene-centered activation networks (HIGAN), a pipeline that employs a suite of multifaceted genomic approaches to connect upstream signaling inputs, trans-acting TFs, and cis-regulatory elements. We apply HIGAN to understand the aberrant activation of the cytidine deaminase APOBEC3B, an intrinsic source of cancer hypermutation. We reveal that nuclear factor κB (NF-κB) and AP-1 pathways are the most salient trans-acting inputs, with minor roles for other inflammatory pathways. We identify a cis-regulatory architecture dominated by a major intronic enhancer that requires coordinated NF-κB and AP-1 activity with secondary inputs from distal regulatory regions. Our data demonstrate how integration of cis and trans genomic screening platforms provides a paradigm for building gene-centered regulatory networks.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grants RO1HG008363, 1R01HG008754 and 1R01NS109217)en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.celrep.2020.108426en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleComprehensive Mapping of Key Regulatory Networks that Drive Oncogene Expressionen_US
dc.typeArticleen_US
dc.identifier.citationLin, Lin et al. “Comprehensive Mapping of Key Regulatory Networks that Drive Oncogene Expression.” Cell reports, 33, 8 (November 2020): 108426 © 2020 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Program
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalCell reportsen_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.updated2020-12-15T16:43:34Z
dspace.orderedauthorsLin, L; Holmes, B; Shen, MW; Kammeron, D; Geijsen, N; Gifford, DK; Sherwood, RIen_US
dspace.date.submission2020-12-15T16:43:39Z
mit.journal.volume33en_US
mit.journal.issue8en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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