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Massively parallel digital transcriptional profiling of single cells.
Zheng, Grace X Y; Terry, Jessica M; Belgrader, Phillip; Ryvkin, Paul; Bent, Zachary W; Wilson, Ryan; Ziraldo, Solongo B; Wheeler, Tobias D; McDermott, Geoff P; Zhu, Junjie; Gregory, Mark T; Shuga, Joe; Montesclaros, Luz; Underwood, Jason G; Masquelier, Donald A; Nishimura, Stefanie Y; Schnall-Levin, Michael; Wyatt, Paul W; Hindson, Christopher M; Bharadwaj, Rajiv; Wong, Alexander; Ness, Kevin D; Beppu, Lan W; Deeg, H Joachim; McFarland, Christopher; Loeb, Keith R; Valente, William J; Ericson, Nolan G; Stevens, Emily A; Radich, Jerald P; Mikkelsen, Tarjei S; Hindson, Benjamin J; Bielas, Jason H.
Afiliación
  • Zheng GX; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Terry JM; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Belgrader P; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Ryvkin P; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Bent ZW; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Wilson R; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Ziraldo SB; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Wheeler TD; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • McDermott GP; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Zhu J; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Gregory MT; Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • Shuga J; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Montesclaros L; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Underwood JG; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Masquelier DA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
  • Nishimura SY; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Schnall-Levin M; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Wyatt PW; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Hindson CM; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Bharadwaj R; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Wong A; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Ness KD; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Beppu LW; 10x Genomics Inc., Pleasanton, California, 94566, USA.
  • Deeg HJ; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • McFarland C; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • Loeb KR; Seattle Cancer Care Alliance Clinical Immunogenetics Laboratory, Seattle, Washington 98109, USA.
  • Valente WJ; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • Ericson NG; Department of Pathology, University of Washington, Seattle, Washington 98195, USA.
  • Stevens EA; Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • Radich JP; Medical Scientist Training Program, University of Washington School of Medicine, Seattle, Washington 98195, USA.
  • Mikkelsen TS; Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington 98195, USA.
  • Hindson BJ; Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
  • Bielas JH; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
Nat Commun ; 8: 14049, 2017 01 16.
Article en En | MEDLINE | ID: mdl-28091601
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 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leucocitos Mononucleares / Transcriptoma Límite: Female / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leucocitos Mononucleares / Transcriptoma Límite: Female / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido