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A dual sgRNA library design to probe genetic modifiers using genome-wide CRISPRi screens.
Guna, Alina; Page, Katharine R; Replogle, Joseph M; Esantsi, Theodore K; Wang, Maxine L; Weissman, Jonathan S; Voorhees, Rebecca M.
Afiliação
  • Guna A; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Ave., Pasadena, CA 91125, USA.
  • Page KR; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Replogle JM; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Ave., Pasadena, CA 91125, USA.
  • Esantsi TK; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Wang ML; Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Weissman JS; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Voorhees RM; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
bioRxiv ; 2023 Aug 14.
Article em En | MEDLINE | ID: mdl-36711738
Mapping genetic interactions is essential for determining gene function and defining novel biological pathways. We report a simple to use CRISPR interference (CRISPRi) based platform, compatible with Fluorescence Activated Cell Sorting (FACS)-based reporter screens, to query epistatic relationships at scale. This is enabled by a flexible dual-sgRNA library design that allows for the simultaneous delivery and selection of a fixed sgRNA and a second randomized guide, comprised of a genome-wide library, with a single transduction. We use this approach to identify epistatic relationships for a defined biological pathway, showing both increased sensitivity and specificity than traditional growth screening approaches.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos