Molecular and Cellular BiologyGenomicsPeer-reviewed journal article
Contextual diversity of the human cell-essential proteome
Thierry BertomeuiD, Jasmin Coulombe‐HuntingtoniD, Andrew Chatr‐aryamontriiD, Karine G. Bourdages, Étienne CoyaudiD, Brian RaughtiD, Yu XiaiD, Mike TyersiD
Abstract
Essential genes define central biological functions required for cell growth, proliferation and survival, but the nature of gene essentiality across human cell types is not well understood. We assessed essential gene function in a Cas9-inducible human B-cell lymphoma cell line using an extended knockout (EKO) library of 278,754 sgRNAs that targeted 19,084 RefSeq genes, 20,852 alternatively-spliced exons and 3,872 hypothetical genes. A new statistical analysis tool called RANKS identified 2,280 essential genes, 234 of which had not been reported previously. Essential genes exhibited a bimodal distribution across 10 cell lines screened in different studies, consistent with a continuous variation in essentiality as a function of cell type. Genes essential in more lines were associated with more severe fitness defects and encoded the evolutionarily conserved structural cores of protein complexes. Genes essential in fewer lines tended to form context-specific modules and encode subunits at the periphery of essential complexes. The essentiality of individual protein residues across the proteome correlated with evolutionary conservation, structural burial, modular domains, and protein interaction interfaces. Many alternatively-spliced exons in essential genes were dispensable and tended to encode disordered regions. We also detected a significant fitness defect for 44 newly evolved hypothetical reading frames. These results illuminate the nature and evolution of essential gene functions in human cells.
- organism: human
- assay: CRISPR screen
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: benchmarking
- approach: statistical model
- Citations
- 95
- FWCI
- 3.57
- Field percentile
- top 6%
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