CRISPR-based large-scale modeling of loss-of-function mutations to investigate mechanisms of stress resistance in cancer

STAR Protoc. 2023 Mar 17;4(1):102097. doi: 10.1016/j.xpro.2023.102097. Epub 2023 Feb 11.

Abstract

Dissecting mechanisms driving subclone expansion in primary cancers has been challenging. Here, we present a protocol to systematically disrupt entire gene networks and assess the functional impact of this perturbation on cancer cell fitness. By combining arrayed CRISPR libraries and high-content microscopy, we describe steps to identify classes of genes whose inactivation promotes resistance to environmental challenges faced by cancer cells during tumor growth or upon therapy. A proof-of-principle interrogation of the epigenetic regulatory network is described. For complete details on the use and execution of this protocol, please refer to Loukas et al. (2022).1.

Keywords: CRISPR; Cancer; Cell Biology; Cell-based Assays; Genetics; High-throughput Screening; Molecular Biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Epigenomics
  • Gene Regulatory Networks
  • Humans
  • Mutation / genetics
  • Neoplasms* / genetics