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dc.contributor.authorLitichevskiy, Lev
dc.contributor.authorPeckner, Ryan
dc.contributor.authorAbelin, Jennifer G.
dc.contributor.authorAsiedu, Jacob K.
dc.contributor.authorCreech, Amanda L.
dc.contributor.authorDavis, John F.
dc.contributor.authorDavison, Desiree
dc.contributor.authorDunning, Caitlin M.
dc.contributor.authorEgertson, Jarrett D.
dc.contributor.authorEgri, Shawn
dc.contributor.authorGould, Joshua
dc.contributor.authorKo, Tak
dc.contributor.authorJohnson, Sarah A.
dc.contributor.authorLahr, David L.
dc.contributor.authorLam, Daniel
dc.contributor.authorLiu, Zihan
dc.contributor.authorMacLean, Brendan X.
dc.contributor.authorLyons, Nicholas J.
dc.contributor.authorLu, Xiaodong
dc.contributor.authorMungenast, Alison
dc.contributor.authorOfficer, Adam
dc.contributor.authorNatoli, Ted E.
dc.contributor.authorPapanastasiou, Malvina
dc.contributor.authorPatel, Jinal
dc.contributor.authorSharma, Vagisha
dc.contributor.authorToder, Courtney
dc.contributor.authorTubelli, Andrew A.
dc.contributor.authorYoung, Jennie Zin-Ney
dc.contributor.authorCarr, Steven A
dc.contributor.authorGolub, Todd
dc.contributor.authorSubramanian, Aravind
dc.contributor.authorMacCoss, Michael J.
dc.contributor.authorTsai, Li-Huei
dc.contributor.authorJaffe, Jacob D.
dc.date.accessioned2020-06-08T14:09:46Z
dc.date.available2020-06-08T14:09:46Z
dc.date.issued2018-04
dc.date.submitted2018-01
dc.identifier.issn2405-4712
dc.identifier.urihttps://hdl.handle.net/1721.1/125709
dc.description.abstractAlthough the value of proteomics has been demonstrated, cost and scale are typically prohibitive, and gene expression profiling remains dominant for characterizing cellular responses to perturbations. However, high-throughput sentinel assays provide an opportunity for proteomics to contribute at a meaningful scale. We present a systematic library resource (90 drugs × 6 cell lines) of proteomic signatures that measure changes in the reduced-representation phosphoproteome (P100) and changes in epigenetic marks on histones (GCP). A majority of these drugs elicited reproducible signatures, but notable cell line- and assay-specific differences were observed. Using the “connectivity” framework, we compared signatures across cell types and integrated data across assays, including a transcriptional assay (L1000). Consistent connectivity among cell types revealed cellular responses that transcended lineage, and consistent connectivity among assays revealed unexpected associations between drugs. We further leveraged the resource against public data to formulate hypotheses for treatment of multiple myeloma and acute lymphocytic leukemia. This resource is publicly available at https://clue.io/proteomics. A large compendium of cellular responses to drugs as profiled through proteomic assays of phosphosignaling and histone modifications reveals cellular responses that transcend lineage, discovers unexpected associations between drugs, and recognizes therapeutic hypotheses for treatment of multiple myeloma and acute lymphocytic leukemia. Keywords: mass spectrometry; proteomics; drug discovery; signaling; epigenetics; mechanism of action; LINCS project; GCP; P100; L1000en_US
dc.description.sponsorshipNIH Common Fund's Library of Integrated Network-based Cellular Signatures (LINCS) program (Grant U54HG008097)en_US
dc.description.sponsorshipNIH Common Fund's Library of Integrated Network-based Cellular Signatures (LINCS) program (Grant U54HG008699)en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttps://dx.doi.org/10.1016/j.cels.2018.03.012en_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.titleA Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbationsen_US
dc.typeArticleen_US
dc.identifier.citationLitichevskiy, Lev et al., "A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations." Cell Systems 6, 4 (April 2018): P424-443.e7 © 2018 The Author(s)en_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentPicower Institute for Learning and Memoryen_US
dc.relation.journalCell Systemsen_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.updated2019-10-09T12:25:38Z
dspace.date.submission2019-10-09T12:25:45Z
mit.journal.volume6en_US
mit.journal.issue4en_US
mit.metadata.statusComplete


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