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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Veröffentlicht in: | Cell 2017-02, Vol.168 (5), p.890-903.e15 |
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Sprache: | eng |
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Zusammenfassung: | 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.
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•CRISPR-based screens identify essential genes in 14 human AML cell lines•Analysis of correlated gene essentiality reveals functional gene networks•Two independent approaches uncover a restricted set of Ras synthetic lethal interactions•PREX1 and the Rac pathway are critical regulators of MAPK pathway activation
Charting global genetic interaction networks in human cells with CRISPR-based screens uncovers key Ras interactors. |
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ISSN: | 0092-8674 1097-4172 |
DOI: | 10.1016/j.cell.2017.01.013 |