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dc.contributor.authorLi, Shuqiang
dc.contributor.authorDarmanis, Spyros
dc.contributor.authorLundberg, Martin
dc.contributor.authorFredriksson, Simon
dc.contributor.authorLandegren, Ulf
dc.contributor.authorGallant, Caroline J.
dc.contributor.authorLivak, Kenneth J.
dc.contributor.authorGenshaft, Alex S.
dc.contributor.authorPrakadan, Sanjay
dc.contributor.authorZiegler, Carly
dc.contributor.authorHong, Joyce
dc.contributor.authorRegev, Aviv
dc.contributor.authorShalek, Alexander K
dc.date.accessioned2016-12-12T21:14:31Z
dc.date.available2016-12-12T21:14:31Z
dc.date.issued2016-09
dc.date.submitted2016-07
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/1721.1/105800
dc.description.abstractWe present a scalable, integrated strategy for coupled protein and RNA detection from single cells. Our approach leverages the DNA polymerase activity of reverse transcriptase to simultaneously perform proximity extension assays and complementary DNA synthesis in the same reaction. Using the Fluidigm C1™ system, we profile the transcriptomic and proteomic response of a human breast adenocarcinoma cell line to a chemical perturbation, benchmarking against in situ hybridizations and immunofluorescence staining, as well as recombinant proteins, ERCC Spike-Ins, and population lysate dilutions. Through supervised and unsupervised analyses, we demonstrate synergies enabled by simultaneous measurement of single-cell protein and RNA abundances. Collectively, our generalizable approach highlights the potential for molecular metadata to inform highly-multiplexed single-cell analyses.en_US
dc.description.sponsorshipSearle Scholars Programen_US
dc.description.sponsorshipArnold and Mabel Beckman Foundation. Beckman Young Investigatoren_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Center for Excellence in Genomic Sciences. Grant P50HG006193)en_US
dc.description.sponsorshipKlarman Cell Observatoryen_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U24AI11862-01)en_US
dc.description.sponsorshipHoward Hughes Medical Instituteen_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (Award T32GM007753)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (New Innovator Award DP2OD020839)en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s13059-016-1045-6en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleMultiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reactionen_US
dc.typeArticleen_US
dc.identifier.citationGenshaft, Alex S et al. “Multiplexed, Targeted Profiling of Single-Cell Proteomes and Transcriptomes in a Single Reaction.” Genome Biology 17.1 (2016): n. pag.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentRagon Institute of MGH, MIT and Harvarden_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorGenshaft, Alex S.
dc.contributor.mitauthorPrakadan, Sanjay
dc.contributor.mitauthorZiegler, Carly
dc.contributor.mitauthorHong, Joyce
dc.contributor.mitauthorRegev, Aviv
dc.contributor.mitauthorShalek, Alexander K
dc.relation.journalGenome Biologyen_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.updated2016-09-20T03:37:14Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.orderedauthorsGenshaft, Alex S; Li, Shuqiang; Gallant, Caroline J.; Darmanis, Spyros; Prakadan, Sanjay M.; Ziegler, Carly G. K.; Lundberg, Martin; Fredriksson, Simon; Hong, Joyce; Regev, Aviv; Livak, Kenneth J.; Landegren, Ulf; Shalek, Alex K.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3079-5134
dc.identifier.orcidhttps://orcid.org/0000-0002-5621-8768
dc.identifier.orcidhttps://orcid.org/0000-0002-8279-7150
dc.identifier.orcidhttps://orcid.org/0000-0001-8567-2049
mit.licensePUBLISHER_CCen_US


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