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 P. Belgrader and Paul Ryvkin and Zachary W. Bent and Ryan Wilson and Solongo B. Ziraldo and T. Wheeler and Geoffrey P. McDermott and Junjie Zhu and M. Gregory and J. Shuga and Luz Montesclaros and D. Masquelier and S. Nishimura and Michael Schnall-Levin and Paul W Wyatt and Christopher M. Hindson and R. Bharadwaj and Alexander Wong and K. Ness and L. Beppu and H. Deeg and C. McFarland and K. Loeb and W. Valente and N. Ericson and Emily A. Stevens and J. Radich and T. Mikkelsen and B. Hindson and J. Bielas},
  journal={bioRxiv},
  year={2016}
}
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… Expand
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