Massively parallel digital transcriptional profiling of single cells

被引：4403

作者：

Zheng, Grace X. Y. ^{[1
]}

Terry, Jessica M. ^{[1
]}

Belgrader, Phillip ^{[1
]}

Ryvkin, Paul ^{[1
]}

Bent, Zachary W. ^{[1
]}

Wilson, Ryan ^{[1
]}

Ziraldo, Solongo B. ^{[1
]}

Wheeler, Tobias D. ^{[1
]}

McDermott, Geoff P. ^{[1
]}

Zhu, Junjie ^{[1
]}

Gregory, Mark T. ^{[2
]}

Shuga, Joe ^{[1
]}

Montesclaros, Luz ^{[1
]}

Underwood, Jason G. ^{[1
,3
]}

Masquelier, Donald A. ^{[1
]}

Nishimura, Stefanie Y. ^{[1
]}

Schnall-Levin, Michael ^{[1
]}

Wyatt, Paul W. ^{[1
]}

Hindson, Christopher M. ^{[1
]}

Bharadwaj, Rajiv ^{[1
]}

Wong, Alexander ^{[1
]}

Ness, Kevin D. ^{[1
]}

Beppu, Lan W. ^{[4
]}

Deeg, H. Joachim ^{[4
]}

McFarland, Christopher ^{[5
]}

Loeb, Keith R. ^{[4
,6
]}

Valente, William J. ^{[2
,7
,8
]}

Ericson, Nolan G. ^{[2
]}

Stevens, Emily A. ^{[4
]}

Radich, Jerald P. ^{[4
]}

Mikkelsen, Tarjei S. ^{[1
]}

Hindson, Benjamin J. ^{[1
]}

Bielas, Jason H. ^{[2
,6
,8
,9
]}

机构：

[1] 10x Genom Inc, Pleasanton, CA 94566 USA

[2] Fred Hutchinson Canc Res Ctr, Translat Res Program, Div Publ Hlth Sci, Seattle, WA 98109 USA

[3] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA

[4] Fred Hutchinson Canc Res Ctr, Div Clin Res, Seattle, WA 98109 USA

[5] Seattle Canc Care Alliance, Clin Immunogenet Lab, Seattle, WA 98109 USA

[6] Univ Washington, Dept Pathol, Seattle, WA 98195 USA

[7] Univ Washington, Sch Med, Med Scientist Training Program, Seattle, WA 98195 USA

[8] Univ Washington, Mol & Cellular Biol Grad Program, Seattle, WA 98195 USA

[9] Fred Hutchinson Canc Res Ctr, Human Biol Div, Seattle, WA 98109 USA

来源：

NATURE COMMUNICATIONS | 2017年 / 8卷

关键词：

RNA-SEQ; HETEROGENEITY; EXPRESSION;

D O I：

10.1038/ncomms14049

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];

摘要：

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 similar to 6 min, with similar to 50% cell capture efficiency. To demonstrate the system's technical performance, we collected transcriptome data from similar to 250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system's ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.

引用

页数：12

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