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dc.contributor.authorMaire, Cecile L
dc.contributor.authorMurakami, Mark A
dc.contributor.authorKnoff, David S
dc.contributor.authorLiu, Huiyun
dc.contributor.authorIdbaih, Ahmed
dc.contributor.authorWeinstock, David M
dc.contributor.authorLigon, Keith L
dc.contributor.authorStevens, Mark M.
dc.contributor.authorChou, Shijie Nigel
dc.contributor.authorKikuchi, Yuki
dc.contributor.authorKimmerling, Robert John
dc.contributor.authorCalistri, Nicholas L
dc.contributor.authorCermak, Nathan
dc.contributor.authorOlcum, Selim A.
dc.contributor.authorCordero, Nicolas
dc.contributor.authorManalis, Scott R
dc.contributor.authorHaidar, Samer, S.M. Massachusetts Institute of Technology
dc.contributor.authorWen, P.
dc.date.accessioned2017-05-04T16:33:36Z
dc.date.available2017-05-04T16:33:36Z
dc.date.issued2016-10
dc.date.submitted2015-10
dc.identifier.issn1087-0156
dc.identifier.issn1546-1696
dc.identifier.urihttp://hdl.handle.net/1721.1/108662
dc.description.abstractAssays that can determine the response of tumor cells to cancer therapeutics could greatly aid the selection of drug regimens for individual patients. However, the utility of current functional assays is limited, and predictive genetic biomarkers are available for only a small fraction of cancer therapies. We found that the single-cell mass accumulation rate (MAR), profiled over many hours with a suspended microchannel resonator, accurately defined the drug sensitivity or resistance of glioblastoma and B-cell acute lymphocytic leukemia cells. MAR revealed heterogeneity in drug sensitivity not only between different tumors, but also within individual tumors and tumor-derived cell lines. MAR measurement predicted drug response using samples as small as 25 μl of peripheral blood while maintaining cell viability and compatibility with downstream characterization. MAR measurement is a promising approach for directly assaying single-cell therapeutic responses and for identifying cellular subpopulations with phenotypic resistance in heterogeneous tumors.en_US
dc.description.sponsorshipUnited States. National Institutes of Health (R01 CA170592)en_US
dc.description.sponsorshipUnited States. National Institutes of Health (R33 CA191143)en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (U54 CA143874)en_US
dc.description.sponsorshipUnited States. National Institutes of Health (NIH/NIGMS T32 GM008334)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nbt.3697en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Manalis via Howard Silveren_US
dc.titleDrug sensitivity of single cancer cells is predicted by changes in mass accumulation rateen_US
dc.typeArticleen_US
dc.identifier.citationStevens, Mark M; Maire, Cecile L; Chou, Nigel; Murakami, Mark A; Knoff, David S; Kikuchi, Yuki; Kimmerling, Robert J, et al. “Drug Sensitivity of Single Cancer Cells Is Predicted by Changes in Mass Accumulation Rate.” Nature Biotechnology 34, no. 11 (October 2016): 1161–1167.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. Microsystems Technology Laboratoriesen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.approverManalis, Scotten_US
dc.contributor.mitauthorStevens, Mark M.
dc.contributor.mitauthorChou, Shijie Nigel
dc.contributor.mitauthorKikuchi, Yuki
dc.contributor.mitauthorKimmerling, Robert John
dc.contributor.mitauthorCalistri, Nicholas L
dc.contributor.mitauthorCermak, Nathan
dc.contributor.mitauthorOlcum, Selim A.
dc.contributor.mitauthorCordero, Nicolas
dc.contributor.mitauthorWen, Patrick
dc.contributor.mitauthorManalis, Scott R
dc.relation.journalNature Biotechnologyen_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.orderedauthorsStevens, Mark M; Maire, Cecile L; Chou, Nigel; Murakami, Mark A; Knoff, David S; Kikuchi, Yuki; Kimmerling, Robert J; Liu, Huiyun; Haidar, Samer; Calistri, Nicholas L; Cermak, Nathan; Olcum, Selim; Cordero, Nicolas A; Idbaih, Ahmed; Wen, Patrick Y; Weinstock, David M; Ligon, Keith L; Manalis, Scott Ren_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5702-8667
dc.identifier.orcidhttps://orcid.org/0000-0002-7482-389X
dc.identifier.orcidhttps://orcid.org/0000-0001-9939-764X
dc.identifier.orcidhttps://orcid.org/0000-0001-5277-6060
dc.identifier.orcidhttps://orcid.org/0000-0001-5223-9433
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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