Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Abstract Background Genome-wide loss-of-function profiling is widely used for systematic identification of genetic dependencies in cancer cells; however, the poor reproducibility of RNA interference (RNAi) screens has been a major concern due to frequent off-target effects. Currently, a detailed und...

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Bibliographic Details
Main Authors: Alok Jaiswal, Gopal Peddinti, Yevhen Akimov, Krister Wennerberg, Sergey Kuznetsov, Jing Tang, Tero Aittokallio
Format: Article
Language:English
Published: BMC 2017-06-01
Series:Genome Medicine
Subjects:
RNAi screening
Gene essentiality
Seed essentiality
Off-target effects
Reproducibility
Seed effects
Online Access:http://link.springer.com/article/10.1186/s13073-017-0440-2

Internet

http://link.springer.com/article/10.1186/s13073-017-0440-2

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