<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Szafran AT</submitter><funding>NICHD NIH HHS</funding><funding>Diana Helis Henry Medical Research Foundation</funding><funding>NIDDK NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>NIEHS</funding><funding>Center of Excellence in Environmental Health</funding><funding>Baylor College of Medicine</funding><funding>NCI NIH HHS</funding><funding>NIH</funding><pagination>75-84</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4891975</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>96</volume><pubmed_abstract>Understanding the properties and functions of complex biological systems depends upon knowing the proteins present and the interactions between them. Recent advances in mass spectrometry have given us greater insights into the participating proteomes, however, monoclonal antibodies remain key to understanding the structures, functions, locations and macromolecular interactions of the involved proteins. The traditional single immunogen method to produce monoclonal antibodies using hybridoma technology are time, resource and cost intensive, limiting the number of reagents that are available. Using a high content analysis screening approach, we have developed a method in which a complex mixture of proteins (e.g., subproteome) is used to generate a panel of monoclonal antibodies specific to a </pubmed_abstract><journal>Methods (San Diego, Calif.)</journal><pubmed_title>Use of HCA in subproteome-immunization and screening of hybridoma supernatants to define distinct antibody binding patterns.</pubmed_title><pmcid>PMC4891975</pmcid><funding_grant_id>ES023512-01</funding_grant_id><funding_grant_id>P30CA125123</funding_grant_id><funding_grant_id>P30 HD007495</funding_grant_id><funding_grant_id>T32 HD007495</funding_grant_id><funding_grant_id>CA125123</funding_grant_id><funding_grant_id>P30 CA125123</funding_grant_id><funding_grant_id>U54 HD007495</funding_grant_id><funding_grant_id>K12 DK083014</funding_grant_id><funding_grant_id>K12DK0083014</funding_grant_id><funding_grant_id>HD007495</funding_grant_id><funding_grant_id>DK56338</funding_grant_id><funding_grant_id>P30 DK056338</funding_grant_id><funding_grant_id>P30 ES023512</funding_grant_id><funding_grant_id>1R01ES023206-01</funding_grant_id><funding_grant_id>R01 ES023206</funding_grant_id><pubmed_authors>Nickerson JA</pubmed_authors><pubmed_authors>Mancini MA</pubmed_authors><pubmed_authors>Mancini MG</pubmed_authors><pubmed_authors>Edwards DP</pubmed_authors><pubmed_authors>Szafran AT</pubmed_authors></additional><is_claimable>false</is_claimable><name>Use of HCA in subproteome-immunization and screening of hybridoma supernatants to define distinct antibody binding patterns.</name><description>Understanding the properties and functions of complex biological systems depends upon knowing the proteins present and the interactions between them. Recent advances in mass spectrometry have given us greater insights into the participating proteomes, however, monoclonal antibodies remain key to understanding the structures, functions, locations and macromolecular interactions of the involved proteins. The traditional single immunogen method to produce monoclonal antibodies using hybridoma technology are time, resource and cost intensive, limiting the number of reagents that are available. Using a high content analysis screening approach, we have developed a method in which a complex mixture of proteins (e.g., subproteome) is used to generate a panel of monoclonal antibodies specific to a </description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Mar</publication><modification>2025-04-19T03:07:41.977Z</modification><creation>2019-03-27T02:15:15Z</creation></dates><accession>S-EPMC4891975</accession><cross_references><pubmed>26521976</pubmed><doi>10.1016/j.ymeth.2015.10.021</doi></cross_references></HashMap>