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Next-generation libraries for robust RNA interference-based genome-wide screens

Cited 70 time in Web of Science Cited 73 time in Scopus
Authors

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.

Issue Date
2015-06
Publisher
National Academy of Sciences
Citation
Proceedings of the National Academy of Sciences of the United States of America, Vol.112 No.26, pp.E3384-E3391
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.
ISSN
0027-8424
URI
https://hdl.handle.net/10371/171958
DOI
https://doi.org/10.1073/pnas.1508821112
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Molecular Biology & Genetics

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