Functional genomics platform for pooled screening and generation of mammalian genetic interaction maps

被引:54
作者
Kampmann, Martin [1 ,2 ]
Bassik, Michael C. [1 ,2 ]
Weissman, Jonathan S. [1 ,2 ]
机构
[1] Univ Calif San Francisco, Calif Inst Quantitat Biomed Res, Dept Cellular & Mol Pharmacol, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Howard Hughes Med Inst, San Francisco, CA USA
基金
美国国家卫生研究院;
关键词
CANCER-CELLS; IN-VIVO; YEAST; RNAI; EXPRESSION; VECTOR; CRISPR;
D O I
10.1038/nprot.2014.103
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Systematic genetic interaction maps in microorganisms are powerful tools for identifying functional relationships between genes and for defining the function of uncharacterized genes. We have recently implemented this strategy in mammalian cells as a two-stage approach. First, genes of interest are robustly identified in a pooled genome-wide screen using complex shRNA libraries. Second, phenotypes for all pairwise combinations of 'hit' genes are measured in a double-shRNA screen and used to construct a genetic interaction map. Our protocol allows for rapid pooled screening under various conditions without a requirement for robotics, in contrast to arrayed approaches. Each round of screening can be implemented in similar to 2 weeks, with additional time for analysis and generation of reagents. We discuss considerations for screen design, and we present complete experimental procedures, as well as a full computational analysis suite for the identification of hits in pooled screens and generation of genetic interaction maps. Although the protocol outlined here was developed for our original shRNA-based approach, it can be applied more generally, including to CRISPR-based approaches.
引用
收藏
页码:1825 / 1847
页数:23
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