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Genetic and proteomic interrogation of lower confidence candidate genes reveals signaling networks in β-catenin-active cancers

  • Joseph Rosenbluh
  • , Johnathan Mercer
  • , Yashaswi Shrestha
  • , Rachel Oliver
  • , Pablo Tamayo
  • , John G. Doench
  • , Itay Tirosh
  • , Federica Piccioni
  • , Ella Hartenian
  • , Heiko Horn
  • , Lola Fagbami
  • , David E. Root
  • , Jacob Jaffe
  • , Kasper Lage
  • , Jesse S. Boehm
  • , William C. Hahn

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Genome-scale expression studies and comprehensive loss-of-function genetic screens have focused almost exclusively on the highest confidence candidate genes. Here, we describe a strategy for characterizing the lower confidence candidates identified by such approaches. We interrogated 177 genes that we classified as essential for the proliferation of cancer cells exhibiting constitutive β-catenin activity and integrated data for each of the candidates, derived from orthogonal short hairpin RNA (shRNA) knockdown and clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9-mediated gene editing knockout screens, to yield 69 validated genes. We then characterized the relationships between sets of these genes using complementary assays: medium-throughput stable isotope labeling by amino acids in cell culture (SILAC)-based mass spectrometry, yielding 3,639 protein-protein interactions, and a CRISPR-mediated pairwise double knockout screen, yielding 375 combinations exhibiting greater- or lesser-than-additive phenotypic effects indicating genetic interactions. These studies identify previously unreported regulators of β-catenin, define functional networks required for the survival of β-catenin-active cancers, and provide an experimental strategy that may be applied to define other signaling networks.
Original languageEnglish
Pages (from-to)302-316
Number of pages15
JournalCell Systems
Volume3
Issue number3
DOIs
Publication statusPublished - 28 Sept 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CRISPR-Cas9
  • genetic interactions
  • protein-protein interactions
  • RNAi
  • β-catenin

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