<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hakhverdyan Z</submitter><funding>Novo Nordisk Fonden</funding><funding>NIGMS NIH HHS</funding><pagination>553-60</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4449307</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(6)</volume><pubmed_abstract>We must reliably map the interactomes of cellular macromolecular complexes in order to fully explore and understand biological systems. However, there are no methods to accurately predict how to capture a given macromolecular complex with its physiological binding partners. Here, we present a screening method that comprehensively explores the parameters affecting the stability of interactions in affinity-captured complexes, enabling the discovery of physiological binding partners in unparalleled detail. We have implemented this screen on several macromolecular complexes from a variety of organisms, revealing novel profiles for even well-studied proteins. Our approach is robust, economical and automatable, providing inroads to the rigorous, systematic dissection of cellular interactomes.</pubmed_abstract><journal>Nature methods</journal><pubmed_title>Rapid, optimized interactomic screening.</pubmed_title><pmcid>PMC4449307</pmcid><funding_grant_id>P50 GM076547</funding_grant_id><funding_grant_id>U54 GM103511</funding_grant_id><funding_grant_id>P41 GM103314</funding_grant_id><funding_grant_id>NNF12OC0001211</funding_grant_id><funding_grant_id>P41 GM109824</funding_grant_id><pubmed_authors>Hough LE</pubmed_authors><pubmed_authors>Jensen TH</pubmed_authors><pubmed_authors>Dilworth DJ</pubmed_authors><pubmed_authors>Oroskar AR</pubmed_authors><pubmed_authors>Domanski M</pubmed_authors><pubmed_authors>Rout MP</pubmed_authors><pubmed_authors>Molloy KR</pubmed_authors><pubmed_authors>Hakhverdyan Z</pubmed_authors><pubmed_authors>LaCava J</pubmed_authors><pubmed_authors>Chait BT</pubmed_authors><pubmed_authors>Sherman V</pubmed_authors><pubmed_authors>Aitchison JD</pubmed_authors><pubmed_authors>Keegan S</pubmed_authors><pubmed_authors>Fenyo D</pubmed_authors><pubmed_authors>Oroskar AA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Rapid, optimized interactomic screening.</name><description>We must reliably map the interactomes of cellular macromolecular complexes in order to fully explore and understand biological systems. However, there are no methods to accurately predict how to capture a given macromolecular complex with its physiological binding partners. Here, we present a screening method that comprehensively explores the parameters affecting the stability of interactions in affinity-captured complexes, enabling the discovery of physiological binding partners in unparalleled detail. We have implemented this screen on several macromolecular complexes from a variety of organisms, revealing novel profiles for even well-studied proteins. Our approach is robust, economical and automatable, providing inroads to the rigorous, systematic dissection of cellular interactomes.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Jun</publication><modification>2025-04-18T16:38:44.617Z</modification><creation>2019-03-27T01:52:26Z</creation></dates><accession>S-EPMC4449307</accession><cross_references><pubmed>25938370</pubmed><doi>10.1038/nmeth.3395</doi></cross_references></HashMap>