bioRxiv preprint doi: https://doi.org/10.1101/2020.06.01.128314; this version posted June 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes Authors: Jamie L. Marshall1,*, Benjamin R. Doughty1,*, Vidya Subramanian1, Qingbo Wang1,2,3, Linlin M. Chen1, Samuel G. Rodriques1,5,6,11, Kaite Zhang1, Philine Guckelberger1,4, Charles P. Fulco1, Joseph Nasser1, Elizabeth J. Grinkevich1, Teia Noel1, Sarah Mangiameli1, Anna Greka1,7, Eric S. Lander1,8,9, Fei Chen1,†, Jesse M. Engreitz1,10,† Affiliations: 1Broad Institute of MIT and Harvard, Cambridge, MA, USA 2Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA 3Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA, USA 4Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, Berlin, Germany 5Department of Physics, MIT, Cambridge, MA, USA 6MIT Media Lab, MIT, Cambridge, MA, USA 7Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA 8Department of Systems Biology, Harvard Medical School, Boston, MA, USA 9Department of Biology, MIT, Cambridge, Massachusetts, USA 10Harvard Society of Fellows, Harvard University, Cambridge, MA, USA 11Present address: Petri Bio, Boston, MA, USA *These authors contributed equally as first authors †These authors jointly supervised the work *Correspondence to:
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[email protected] 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.