1. Mapping the Genetic Landscape of Human Cells
- Author
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Horlbeck, Max A, Xu, Albert, Wang, Min, Bennett, Neal K, Park, Chong Y, Bogdanoff, Derek, Adamson, Britt, Chow, Eric D, Kampmann, Martin, Peterson, Tim R, Nakamura, Ken, Fischbach, Michael A, Weissman, Jonathan S, and Gilbert, Luke A
- Subjects
Biochemistry and Cell Biology ,Genetics ,Biological Sciences ,Biotechnology ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Generic health relevance ,Biomarkers ,Cholesterol ,Clustered Regularly Interspaced Short Palindromic Repeats ,Epistasis ,Genetic ,Gene Regulatory Networks ,High-Throughput Nucleotide Sequencing ,Humans ,Jurkat Cells ,K562 Cells ,Protein Interaction Mapping ,CRISPR ,CRISPRi ,epistasis ,functional genomics ,genetic interactions ,Medical and Health Sciences ,Developmental Biology ,Biological sciences ,Biomedical and clinical sciences - Abstract
Seminal yeast studies have established the value of comprehensively mapping genetic interactions (GIs) for inferring gene function. Efforts in human cells using focused gene sets underscore the utility of this approach, but the feasibility of generating large-scale, diverse human GI maps remains unresolved. We developed a CRISPR interference platform for large-scale quantitative mapping of human GIs. We systematically perturbed 222,784 gene pairs in two cancer cell lines. The resultant maps cluster functionally related genes, assigning function to poorly characterized genes, including TMEM261, a new electron transport chain component. Individual GIs pinpoint unexpected relationships between pathways, exemplified by a specific cholesterol biosynthesis intermediate whose accumulation induces deoxynucleotide depletion, causing replicative DNA damage and a synthetic-lethal interaction with the ATR/9-1-1 DNA repair pathway. Our map provides a broad resource, establishes GI maps as a high-resolution tool for dissecting gene function, and serves as a blueprint for mapping the genetic landscape of human cells.
- Published
- 2018