Gene Essentiality Profiling Reveals Gene Networks and Synthetic Lethal Interactions with Oncogenic Ras

The genetic dependencies of human cancers widely vary. Here, we catalog this heterogeneity and use it to identify functional gene interactions and genotype-dependent liabilities in cancer. By using genome-wide CRISPR-based screens, we generate a gene essentiality dataset across 14 human acute myeloi...

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Bibliographic Details
Main Authors: Yu, Haiyan (Author), Hughes, Nicholas W. (Author), Kendirli, Arek (Author), Klein, Klara (Author), Lander, Eric S. (Author), Wang, Tim (Contributor), Liu, Bingxu (Contributor), Chen, Walter W. (Contributor), Sabatini, David (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2018-06-28T18:57:39Z.
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Summary:The genetic dependencies of human cancers widely vary. Here, we catalog this heterogeneity and use it to identify functional gene interactions and genotype-dependent liabilities in cancer. By using genome-wide CRISPR-based screens, we generate a gene essentiality dataset across 14 human acute myeloid leukemia (AML) cell lines. Sets of genes with correlated patterns of essentiality across the lines reveal new gene relationships, the essential substrates of enzymes, and the molecular functions of uncharacterized proteins. Comparisons of differentially essential genes between Ras-dependent and -independent lines uncover synthetic lethal partners of oncogenic Ras. Screens in both human AML and engineered mouse pro-B cells converge on a surprisingly small number of genes in the Ras processing and MAPK pathways and pinpoint PREX1 as an AML-specific activator of MAPK signaling. Our findings suggest general strategies for defining mammalian gene networks and synthetic lethal interactions by exploiting the natural genetic and epigenetic diversity of human cancer cells. Keywords: CRISPR; AML; synthetic lethality; gene networks; RAS; genetic screens
National Institutes of Health (U.S.) (Grant CA103866)
National Institutes of Health (U.S.) (Grant F31CA189437)