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dc.contributor.authorMarshall, Jamie L
dc.contributor.authorDoughty, Benjamin R
dc.contributor.authorSubramanian, Vidya
dc.contributor.authorGuckelberger, Philine
dc.contributor.authorWang, Qingbo
dc.contributor.authorChen, Linlin M
dc.contributor.authorRodriques, Samuel G
dc.contributor.authorZhang, Kaite
dc.contributor.authorFulco, Charles P
dc.contributor.authorNasser, Joseph
dc.contributor.authorGrinkevich, Elizabeth J
dc.contributor.authorNoel, Teia
dc.contributor.authorMangiameli, Sarah
dc.contributor.authorBergman, Drew T
dc.contributor.authorGreka, Anna
dc.contributor.authorLander, Eric S
dc.contributor.authorChen, Fei
dc.contributor.authorEngreitz, Jesse M
dc.date.accessioned2021-10-27T19:58:33Z
dc.date.available2021-10-27T19:58:33Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134185
dc.description.abstract© 2020 National Academy of Sciences. All rights reserved. Single-cell quantification of RNAs is important for understanding cellular heterogeneity and gene regulation, yet current approaches suffer from low sensitivity for individual transcripts, limiting their utility for many applications. Here we present Hybridization of Probes to RNA for sequencing (HyPR-seq), a method to sensitively quantify the expression of hundreds of chosen genes in single cells. HyPR-seq involves hybridizing DNA probes to RNA, distributing cells into nanoliter droplets, amplifying the probes with PCR, and sequencing the amplicons to quantify the expression of chosen genes. HyPR-seq achieves high sensitivity for individual transcripts, detects nonpolyadenylated and low-abundance transcripts, and can profile more than 100,000 single cells. We demonstrate how HyPR-seq can profile the effects of CRISPR perturbations in pooled screens, detect time-resolved changes in gene expression via measurements of gene introns, and detect rare transcripts and quantify cell-type frequencies in tissue using low-abundance marker genes. By directing sequencing power to genes of interest and sensitively quantifying individual transcripts, HyPR-seq reduces costs by up to 100-fold compared to whole-transcriptome single-cell RNA-sequencing, making HyPR-seq a powerful method for targeted RNA profiling in single cells.
dc.language.isoen
dc.publisherProceedings of the National Academy of Sciences
dc.relation.isversionof10.1073/PNAS.2010738117
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.sourcePNAS
dc.titleHyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-07-20T17:47:37Z
dspace.orderedauthorsMarshall, JL; Doughty, BR; Subramanian, V; Guckelberger, P; Wang, Q; Chen, LM; Rodriques, SG; Zhang, K; Fulco, CP; Nasser, J; Grinkevich, EJ; Noel, T; Mangiameli, S; Bergman, DT; Greka, A; Lander, ES; Chen, F; Engreitz, JM
dspace.date.submission2021-07-20T17:47:39Z
mit.journal.volume117
mit.journal.issue52
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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