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In vivo and in vitro human gene essentiality estimations capture contrasting functional constraints

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NAR GENOMICS AND BIOINFORMATICS
卷 3, 期 3, 页码 -

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OXFORD UNIV PRESS
DOI: 10.1093/nargab/lqab063

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  1. Consejo Nacional de Ciencia y Tecnologia (CONACYT) [46988]
  2. Universidad Nacional Autonoma de Mexico [IN211721]

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Gene essentiality estimation is a popular empirical method that links genotypes to phenotypes, showing that it can recover functional constraints of genes, but estimates based on organismal or cellular contexts may result in different functional constraint properties. Information obtained from LoF mutations effectively captures organismal-level functional constraints, with some genes showing a preference for nervous system expression despite being intolerant in vivo and tolerant in vitro.
Gene essentiality estimation is a popular empirical approach to link genotypes to phenotypes. In humans, essentiality is estimated based on loss-offunction (LoF) mutation intolerance, either from population exome sequencing (in vivo) data or CRISPR-based in vitro perturbation experiments. Both approaches identify genes presumed to have detrimental consequences on the organism upon mutation. Are these genes constrained by having key cellular/organismal roles? Do in vivo and in vitro estimations equally recover these constraints? Insights into these questions have important implications in generalizing observations from cell models and interpreting disease risk genes. To empirically address these questions, we integrate genome-scale datasets and compare structural, functional and evolutionary features of essential genes versus genes with extremely high mutational tolerance. We found that essentiality estimates do recover functional constraints. However, the organismal or cellular context of estimation leads to functionally contrasting properties underlying the constraint. Our results suggest that depletion of LoF mutations in human populations effectively captures organismal-level functional constraints not experimentally accessible through CRISPR-based screens. Finally, we identify a set of genes (OrgEssentiaI), which are mutationally intolerant in vivo but highly tolerant in vitro. These genes drive observed functional constraint differences and have an unexpected preference for nervous system expression.

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