Nature Communications (Jan 2017)

Massively parallel digital transcriptional profiling of single cells

  • Grace X. Y. Zheng,
  • Jessica M. Terry,
  • Phillip Belgrader,
  • Paul Ryvkin,
  • Zachary W. Bent,
  • Ryan Wilson,
  • Solongo B. Ziraldo,
  • Tobias D. Wheeler,
  • Geoff P. McDermott,
  • Junjie Zhu,
  • Mark T. Gregory,
  • Joe Shuga,
  • Luz Montesclaros,
  • Jason G. Underwood,
  • Donald A. Masquelier,
  • Stefanie Y. Nishimura,
  • Michael Schnall-Levin,
  • Paul W. Wyatt,
  • Christopher M. Hindson,
  • Rajiv Bharadwaj,
  • Alexander Wong,
  • Kevin D. Ness,
  • Lan W. Beppu,
  • H. Joachim Deeg,
  • Christopher McFarland,
  • Keith R. Loeb,
  • William J. Valente,
  • Nolan G. Ericson,
  • Emily A. Stevens,
  • Jerald P. Radich,
  • Tarjei S. Mikkelsen,
  • Benjamin J. Hindson,
  • Jason H. Bielas

DOI
https://doi.org/10.1038/ncomms14049
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 12

Abstract

Read online

Single-cell gene expression analysis is challenging. This work describes a new droplet-based single cell RNA-seq platform capable of processing tens of thousands of cells across 8 independent samples in minutes, and demonstrates cellular subtypes and host–donor chimerism in transplant patients.