Abstract

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 up to 100 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 non-polyadenylated 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 scRNA-seq, making HyPR-seq a powerful method for targeted RNA profiling in single cells.

Competing Interest Statement

F.C., J.M.E., J.L.M., V.S., and S.R. are inventors on patent applications filed by the Broad Institute related to this work (62/676,069 and 62/780,889). E.S.L. serves on the Board of Directors for Codiak BioSciences and Neon Therapeutics, and serves on the Scientific Advisory Board of F-Prime Capital Partners and Third Rock Ventures; he is also affiliated with several non-profit organizations including serving on the Board of Directors of the Innocence Project, Count Me In, and Biden Cancer Initiative, and the Board of Trustees for the Parker Institute for Cancer Immunotherapy. He has served and continues to serve on various federal advisory committees.

Details

Title
HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes
Author
Marshall, Jamie L; Doughty, Benjamin R; Subramanian, Vidya; Wang, Qingbo; Chen, Linlin M; Rodriques, Samuel G; Zhang, Kaite; Guckelberger, Philine; Fulco, Charles P; Nasser, Joseph; Grinkevich, Elizabeth J; Noel, Teia; Mangiameli, Sarah; Greka, Anna; Lander, Eric S; Chen, Fei; Engreitz, Jesse M
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2020
Publication date
Jun 2, 2020
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2408690634
Copyright
© 2020. This article is published under http://creativecommons.org/licenses/by-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.