Massively parallel digital transcriptional profiling of single cells

@article{Zheng2016MassivelyPD,
  title={Massively parallel digital transcriptional profiling of single cells},
  author={Grace X. Y. Zheng and Jessica M. Terry and Phillip Belgrader and Paul Ryvkin and Zachary W. Bent and Ryan Wilson and Solongo B. Ziraldo and Tobias D. Wheeler and Geoffrey P McDermott and Junjie Zhu and Mark T. Gregory and Joe Shuga and Luz Montesclaros and Jason G. Underwood and Donald A. Masquelier and Stefanie Y. Nishimura and Michael Schnall-Levin and Paul W Wyatt and Christopher M. Hindson and Rajiv Pranesh Bharadwaj and Alexander Wong and Kevin D Ness and Lan W Beppu and H. Joachim Deeg and Christopher McFarland and Keith R. Loeb and W J Valente and Nolan G. Ericson and Emily A. Stevens and Jerald P Radich and Tarjei Sigurd Mikkelsen and Benjamin J. Hindson and Jason H. Bielas},
  journal={Nature Communications},
  year={2016},
  volume={8}
}
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 up to tens of thousands of single cells per sample. Cell encapsulation in droplets takes place in ∼6 minutes, with ∼50% cell capture efficiency, up to 8 samples at a time. The speed and efficiency allow the processing of precious samples while minimizing stress to cells. To demonstrate the system′s technical… 

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