Your browser doesn't support javascript.
loading
Massively parallel single-nucleus RNA-seq with DroNc-seq.
Habib, Naomi; Avraham-Davidi, Inbal; Basu, Anindita; Burks, Tyler; Shekhar, Karthik; Hofree, Matan; Choudhury, Sourav R; Aguet, François; Gelfand, Ellen; Ardlie, Kristin; Weitz, David A; Rozenblatt-Rosen, Orit; Zhang, Feng; Regev, Aviv.
Afiliação
  • Habib N; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Avraham-Davidi I; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Basu A; McGovern Institute, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Burks T; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Shekhar K; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Hofree M; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Choudhury SR; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Aguet F; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Gelfand E; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Ardlie K; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Weitz DA; McGovern Institute, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Rozenblatt-Rosen O; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Zhang F; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Regev A; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Nat Methods ; 14(10): 955-958, 2017 Oct.
Article em En | MEDLINE | ID: mdl-28846088
ABSTRACT
Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that are preserved or cannot be dissociated, but it does not provide high throughput. Here, we develop DroNc-seq massively parallel sNuc-seq with droplet technology. We profile 39,111 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient, and unbiased classification of cell types, paving the way for systematic charting of cell atlases.
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Análise de Sequência de RNA Limite: Animals / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Análise de Sequência de RNA Limite: Animals / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article