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Next-generation libraries for robust RNA interference-based genome-wide screens.
Kampmann, Martin; Horlbeck, Max A; Chen, Yuwen; Tsai, Jordan C; Bassik, Michael C; Gilbert, Luke A; Villalta, Jacqueline E; Kwon, S Chul; Chang, Hyeshik; Kim, V Narry; Weissman, Jonathan S.
Afiliação
  • Kampmann M; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158; Martin.Kampmann@ucsf.edu jonathan.weissman@ucsf.edu.
  • Horlbeck MA; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Chen Y; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Tsai JC; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Bassik MC; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Gilbert LA; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Villalta JE; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158;
  • Kwon SC; Center for RNA Research, Institute for Basic Science, Seoul 151-742, South Korea; School of Biological Sciences, Seoul National University, Seoul 151-742, South Korea.
  • Chang H; Center for RNA Research, Institute for Basic Science, Seoul 151-742, South Korea; School of Biological Sciences, Seoul National University, Seoul 151-742, South Korea.
  • Kim VN; Center for RNA Research, Institute for Basic Science, Seoul 151-742, South Korea; School of Biological Sciences, Seoul National University, Seoul 151-742, South Korea.
  • Weissman JS; Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158; Martin.Kampmann@ucsf.edu jonathan.weissman@ucsf.edu.
Proc Natl Acad Sci U S A ; 112(26): E3384-91, 2015 Jun 30.
Article em En | MEDLINE | ID: mdl-26080438
ABSTRACT
Genetic screening based on loss-of-function phenotypes is a powerful discovery tool in biology. Although the recent development of clustered regularly interspaced short palindromic repeats (CRISPR)-based screening approaches in mammalian cell culture has enormous potential, RNA interference (RNAi)-based screening remains the method of choice in several biological contexts. We previously demonstrated that ultracomplex pooled short-hairpin RNA (shRNA) libraries can largely overcome the problem of RNAi off-target effects in genome-wide screens. Here, we systematically optimize several aspects of our shRNA library, including the promoter and microRNA context for shRNA expression, selection of guide strands, and features relevant for postscreen sample preparation for deep sequencing. We present next-generation high-complexity libraries targeting human and mouse protein-coding genes, which we grouped into 12 sublibraries based on biological function. A pilot screen suggests that our next-generation RNAi library performs comparably to current CRISPR interference (CRISPRi)-based approaches and can yield complementary results with high sensitivity and high specificity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Interferência de RNA Limite: Animals / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Interferência de RNA Limite: Animals / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article