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Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
Dixit, Atray; Parnas, Oren; Li, Biyu; Chen, Jenny; Fulco, Charles P; Jerby-Arnon, Livnat; Marjanovic, Nemanja D; Dionne, Danielle; Burks, Tyler; Raychowdhury, Raktima; Adamson, Britt; Norman, Thomas M; Lander, Eric S; Weissman, Jonathan S; Friedman, Nir; Regev, Aviv.
Afiliação
  • Dixit A; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
  • Parnas O; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Li B; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Chen J; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
  • Fulco CP; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
  • Jerby-Arnon L; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Marjanovic ND; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.
  • Dionne D; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Burks T; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Raychowdhury R; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Adamson B; Department of Cellular and Molecular Pharmacology, California Institute of Quantitative Biosciences, Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Norman TM; Department of Cellular and Molecular Pharmacology, California Institute of Quantitative Biosciences, Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Lander ES; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.
  • Weissman JS; Department of Cellular and Molecular Pharmacology, California Institute of Quantitative Biosciences, Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
  • Friedman N; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; School of Engineering and Computer Science and Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
  • Regev A; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Electronic address: aregev@broadinstitute.org.
Cell ; 167(7): 1853-1866.e17, 2016 Dec 15.
Article em En | MEDLINE | ID: mdl-27984732
Genetic screens help infer gene function in mammalian cells, but it has remained difficult to assay complex phenotypes-such as transcriptional profiles-at scale. Here, we develop Perturb-seq, combining single-cell RNA sequencing (RNA-seq) and clustered regularly interspaced short palindromic repeats (CRISPR)-based perturbations to perform many such assays in a pool. We demonstrate Perturb-seq by analyzing 200,000 cells in immune cells and cell lines, focusing on transcription factors regulating the response of dendritic cells to lipopolysaccharide (LPS). Perturb-seq accurately identifies individual gene targets, gene signatures, and cell states affected by individual perturbations and their genetic interactions. We posit new functions for regulators of differentiation, the anti-viral response, and mitochondrial function during immune activation. By decomposing many high content measurements into the effects of perturbations, their interactions, and diverse cell metadata, Perturb-seq dramatically increases the scope of pooled genomic assays.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Cell Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Cell Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos