Your browser doesn't support javascript.
loading
Live-seq enables temporal transcriptomic recording of single cells.
Chen, Wanze; Guillaume-Gentil, Orane; Rainer, Pernille Yde; Gäbelein, Christoph G; Saelens, Wouter; Gardeux, Vincent; Klaeger, Amanda; Dainese, Riccardo; Zachara, Magda; Zambelli, Tomaso; Vorholt, Julia A; Deplancke, Bart.
Afiliação
  • Chen W; Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
  • Guillaume-Gentil O; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Rainer PY; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Gäbelein CG; Department of Biology, Institute of Microbiology, ETH Zurich, Zurich, Switzerland.
  • Saelens W; Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
  • Gardeux V; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Klaeger A; Department of Biology, Institute of Microbiology, ETH Zurich, Zurich, Switzerland.
  • Dainese R; Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
  • Zachara M; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Zambelli T; Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
  • Vorholt JA; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Deplancke B; Laboratory of Systems Biology and Genetics, Institute of Bio-engineering and Global Health Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Nature ; 608(7924): 733-740, 2022 08.
Article em En | MEDLINE | ID: mdl-35978187

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sobrevivência Celular / Perfilação da Expressão Gênica / Análise de Célula Única / Transcriptoma / RNA-Seq / Macrófagos Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sobrevivência Celular / Perfilação da Expressão Gênica / Análise de Célula Única / Transcriptoma / RNA-Seq / Macrófagos Idioma: En Ano de publicação: 2022 Tipo de documento: Article