Highly Multiplexed Single-Cell RNA-seq for Defining Cell Population and Transcriptional Spaces
Jase GehringiD, Jong Hwee ParkiD, Sisi CheniD, Matthew ThomsoniD, Lior S. PachteriD
Abstract
We describe a universal sample multiplexing method for single-cell RNA-seq in which cells are chemically labeled with identifying DNA oligonucleotides. Analysis of a 96-plex perturbation experiment revealed changes in cell population structure and transcriptional states that cannot be discerned from bulk measurements, establishing a cost effective means to survey cell populations from large experiments and clinical samples with the depth and resolution of single-cell RNA-seq.
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