<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim E</submitter><funding>CPRIT</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><funding>Andrew Sabin Family Foundation</funding><pagination>140</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9241233</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Coessentiality networks derived from CRISPR screens in cell lines provide a powerful framework for identifying functional modules in the cell and for inferring the roles of uncharacterized genes. However, these networks integrate signal across all underlying data and can mask strong interactions that occur in only a subset of the cell lines analyzed.&lt;h4>Results&lt;/h4>Here, we decipher dynamic functional interactions by identifying significant cellular contexts, primarily by oncogenic mutation, lineage, and tumor type, and discovering coessentiality relationships that depend on these contexts. We recapitulate well-known gene-context interactions such as oncogene-mutation, paralog buffering, and tissue-specific essential genes, show how mutation rewires known signal transduc</pubmed_abstract><journal>Genome biology</journal><pubmed_title>Dynamic rewiring of biological activity across genotype and lineage revealed by context-dependent functional interactions.</pubmed_title><pmcid>PMC9241233</pmcid><funding_grant_id>R35 GM130119</funding_grant_id><funding_grant_id>P30 CA016672</funding_grant_id><funding_grant_id>R35GM130119</funding_grant_id><funding_grant_id>P30CA16672</funding_grant_id><funding_grant_id>RR160032</funding_grant_id><pubmed_authors>Lin C</pubmed_authors><pubmed_authors>Kim E</pubmed_authors><pubmed_authors>Hart T</pubmed_authors><pubmed_authors>Colic M</pubmed_authors><pubmed_authors>Gheorghe V</pubmed_authors><pubmed_authors>Bristow CA</pubmed_authors><pubmed_authors>Bertolet LL</pubmed_authors><pubmed_authors>Novak LC</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dynamic rewiring of biological activity across genotype and lineage revealed by context-dependent functional interactions.</name><description>&lt;h4>Background&lt;/h4>Coessentiality networks derived from CRISPR screens in cell lines provide a powerful framework for identifying functional modules in the cell and for inferring the roles of uncharacterized genes. However, these networks integrate signal across all underlying data and can mask strong interactions that occur in only a subset of the cell lines analyzed.&lt;h4>Results&lt;/h4>Here, we decipher dynamic functional interactions by identifying significant cellular contexts, primarily by oncogenic mutation, lineage, and tumor type, and discovering coessentiality relationships that depend on these contexts. We recapitulate well-known gene-context interactions such as oncogene-mutation, paralog buffering, and tissue-specific essential genes, show how mutation rewires known signal transduc</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jun</publication><modification>2025-04-04T19:06:26.237Z</modification><creation>2022-07-08T16:48:38.869Z</creation></dates><accession>S-EPMC9241233</accession><cross_references><pubmed>35768873</pubmed><doi>10.1186/s13059-022-02712-z</doi></cross_references></HashMap>