Ontology highlight
ABSTRACT:
SUBMITTER: Zheng GX
PROVIDER: S-EPMC5241818 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
Zheng Grace X Y GX Terry Jessica M JM Belgrader Phillip P Ryvkin Paul P Bent Zachary W ZW Wilson Ryan R Ziraldo Solongo B SB Wheeler Tobias D TD McDermott Geoff P GP Zhu Junjie J Gregory Mark T MT Shuga Joe J Montesclaros Luz L Underwood Jason G JG Masquelier Donald A DA Nishimura Stefanie Y SY Schnall-Levin Michael M Wyatt Paul W PW Hindson Christopher M CM Bharadwaj Rajiv R Wong Alexander A Ness Kevin D KD Beppu Lan W LW Deeg H Joachim HJ McFarland Christopher C Loeb Keith R KR Valente William J WJ Ericson Nolan G NG Stevens Emily A EA Radich Jerald P JP Mikkelsen Tarjei S TS Hindson Benjamin J BJ Bielas Jason H JH
Nature communications 20170116
Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3' mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ∼6 min, with ∼50% cell capture efficiency. To demonstrate the system's technical performance, we collected transcriptome data from ∼250k single cells across 29 samples. We validated the sensitivity of the sys ...[more]