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dc.contributor.authorTirosh, I.
dc.contributor.authorIzar, B.
dc.contributor.authorTreacy, D.
dc.contributor.authorTrombetta, J. J.
dc.contributor.authorRotem, A.
dc.contributor.authorRodman, C.
dc.contributor.authorLian, C.
dc.contributor.authorMurphy, G.
dc.contributor.authorFallahi-Sichani, M.
dc.contributor.authorDutton-Regester, K.
dc.contributor.authorLin, J.-R.
dc.contributor.authorCohen, O.
dc.contributor.authorShah, P.
dc.contributor.authorLu, D.
dc.contributor.authorVillani, A.-C.
dc.contributor.authorAndreev, A. Y.
dc.contributor.authorVan Allen, E. M.
dc.contributor.authorBertagnolli, M.
dc.contributor.authorSorger, P. K.
dc.contributor.authorSullivan, R. J.
dc.contributor.authorFlaherty, K. T.
dc.contributor.authorFrederick, D. T.
dc.contributor.authorJane-Valbuena, J.
dc.contributor.authorRozenblatt-Rosen, O.
dc.contributor.authorPrakadan, Sanjay
dc.contributor.authorWadsworth, Marc Havens
dc.contributor.authorGenshaft, Alex S.
dc.contributor.authorHughes, Travis K.
dc.contributor.authorZiegler, Carly
dc.contributor.authorKazer, Samuel Weisgurt
dc.contributor.authorGaillard de Saint Germain, Alethe
dc.contributor.authorKolb, Kellie Elizabeth
dc.contributor.authorJohannessen, Cory M.
dc.contributor.authorYoon, Clifford H.
dc.contributor.authorShalek, Alexander K
dc.contributor.authorRegev, Aviv
dc.contributor.authorGarraway, Levi A.
dc.date.accessioned2017-07-07T19:22:03Z
dc.date.available2017-07-07T19:22:03Z
dc.date.issued2016-04
dc.date.submitted2015-07
dc.identifier.issn0036-8075
dc.identifier.issn1095-9203
dc.identifier.urihttp://hdl.handle.net/1721.1/110559
dc.description.abstractTo explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (1U24CA180922)en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (P30-CA14051)en_US
dc.language.isoen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/science.aad0501en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleDissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seqen_US
dc.typeArticleen_US
dc.identifier.citationTirosh, I.; Izar, B.; Prakadan, S. M.; Wadsworth, M. H.; Treacy, D.; Trombetta, J. J.; Rotem, A.; Rodman, C.; Lian, C. et al. "Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq." Science 352, 6282 (April 2016): 189-196 © 2016 American Association for the Advancement of Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.mitauthorPrakadan, Sanjay
dc.contributor.mitauthorWadsworth, Marc Havens
dc.contributor.mitauthorGenshaft, Alex S.
dc.contributor.mitauthorHughes, Travis K.
dc.contributor.mitauthorZiegler, Carly
dc.contributor.mitauthorKazer, Samuel Weisgurt
dc.contributor.mitauthorGaillard de Saint Germain, Alethe
dc.contributor.mitauthorKolb, Kellie Elizabeth
dc.contributor.mitauthorJohannessen, Cory M.
dc.contributor.mitauthorYoon, Clifford H.
dc.contributor.mitauthorShalek, Alexander K
dc.contributor.mitauthorRegev, Aviv
dc.contributor.mitauthorGarraway, Levi
dc.relation.journalScienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsTirosh, I.; Izar, B.; Prakadan, S. M.; Wadsworth, M. H.; Treacy, D.; Trombetta, J. J.; Rotem, A.; Rodman, C.; Lian, C.; Murphy, G.; Fallahi-Sichani, M.; Dutton-Regester, K.; Lin, J.-R.; Cohen, O.; Shah, P.; Lu, D.; Genshaft, A. S.; Hughes, T. K.; Ziegler, C. G. K.; Kazer, S. W.; Gaillard, A.; Kolb, K. E.; Villani, A.-C.; Johannessen, C. M.; Andreev, A. Y.; Van Allen, E. M.; Bertagnolli, M.; Sorger, P. K.; Sullivan, R. J.; Flaherty, K. T.; Frederick, D. T.; Jane-Valbuena, J.; Yoon, C. H.; Rozenblatt-Rosen, O.; Shalek, A. K.; Regev, A.; Garraway, L. A.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5621-8768
dc.identifier.orcidhttps://orcid.org/0000-0001-9376-164X
dc.identifier.orcidhttps://orcid.org/0000-0003-3079-5134
dc.identifier.orcidhttps://orcid.org/0000-0001-8291-8672
dc.identifier.orcidhttps://orcid.org/0000-0002-8279-7150
dc.identifier.orcidhttps://orcid.org/0000-0002-7380-9594
dc.identifier.orcidhttps://orcid.org/0000-0001-9179-7972
dc.identifier.orcidhttps://orcid.org/0000-0003-0710-7305
dc.identifier.orcidhttps://orcid.org/0000-0001-8567-2049
mit.licenseOPEN_ACCESS_POLICYen_US


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