<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu X</submitter><funding>NIGMS NIH HHS</funding><pagination>31861-31870</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7749342</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>117(50)</volume><pubmed_abstract>Streamlined characterization of protein complexes remains a challenge for the study of protein interaction networks. Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrichment of specific protein complexes. The multifunctional capabilities of this protein-tagging system also permit in vivo validation of interactions using acceptor photobleaching Förster resonance energy transfer and fluorescence cross-correlation spectroscopy quantitative imaging. By coupling SCAP to cross-linking mass spectrometry, an integrative structural model of the complex of interest can be generated. We demonstrate this approach using the Spindlin1 and SPINDOC protein complex, culminating in a structural model with two SPINDOC molecules docked on one SPIN1 molecule. In this model, SPINDOC interacts with the SPIN1 interface previously shown to bind a lysine and arginine methylated sequence of histone H3. Our approach combines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build integrative structural models of protein complexes.</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Driving integrative structural modeling with serial capture affinity purification.</pubmed_title><pmcid>PMC7749342</pmcid><funding_grant_id>R01 GM112639</funding_grant_id><funding_grant_id>R35 GM118068</funding_grant_id><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Banks CAS</pubmed_authors><pubmed_authors>Abmayr SM</pubmed_authors><pubmed_authors>Workman JL</pubmed_authors><pubmed_authors>Washburn MP</pubmed_authors><pubmed_authors>Wen Z</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Unruh JR</pubmed_authors><pubmed_authors>Florens L</pubmed_authors><pubmed_authors>Slaughter BD</pubmed_authors><pubmed_authors>Hao Y</pubmed_authors><pubmed_authors>Lange JJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Driving integrative structural modeling with serial capture affinity purification.</name><description>Streamlined characterization of protein complexes remains a challenge for the study of protein interaction networks. Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrichment of specific protein complexes. The multifunctional capabilities of this protein-tagging system also permit in vivo validation of interactions using acceptor photobleaching Förster resonance energy transfer and fluorescence cross-correlation spectroscopy quantitative imaging. By coupling SCAP to cross-linking mass spectrometry, an integrative structural model of the complex of interest can be generated. We demonstrate this approach using the Spindlin1 and SPINDOC protein complex, culminating in a structural model with two SPINDOC molecules docked on one SPIN1 molecule. In this model, SPINDOC interacts with the SPIN1 interface previously shown to bind a lysine and arginine methylated sequence of histone H3. Our approach combines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build integrative structural models of protein complexes.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Dec</publication><modification>2022-02-10T09:55:21.837Z</modification><creation>2021-02-20T15:56:10Z</creation></dates><accession>S-EPMC7749342</accession><cross_references><pubmed>33257578</pubmed><doi>10.1073/pnas.2007931117</doi></cross_references></HashMap>