{"id":61,"date":"2016-08-22T08:24:31","date_gmt":"2016-08-22T08:24:31","guid":{"rendered":"http:\/\/depts.washington.edu\/diabetes\/?page_id=61"},"modified":"2022-11-04T11:06:12","modified_gmt":"2022-11-04T18:06:12","slug":"proteomics-and-bioinformatics","status":"publish","type":"page","link":"https:\/\/depts.washington.edu\/diabetes\/proteomics-and-bioinformatics\/","title":{"rendered":"Proteomics and Bioinformatics Core"},"content":{"rendered":"<section class=\"kc-elm kc-css-446228 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-621731 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\">\n<div class=\"kc-elm kc-css-725306 kc-title-wrap \">\n\n\t<h1 class=\"kc_title\">Proteomics and Bioinformatics Core<\/h1>\n<\/div>\n<div class=\"kc-elm kc-css-836473 kc_text_block\">\n<p>The overall goals of the Proteomics and Bioinformatics Core are to provide the powerful tools of modern mass spectrometry and complex data set analysis to Diabetes Research Center investigators to permit structural identification and quantitation of proteins involved in diabetes and its complications in support of both basic as well as translational and clinical studies.<\/p>\n<p>To accomplish these goals the Proteomics and Bioinformatics Core provides the following to Diabetes Research Center affiliate investigators:<\/p>\n<ul>\n<li>Mass spectrometric (MS) analyses for Diabetes Research Center investigators, such as quantifying target analytes and obtaining spectra for structural identification of proteins. Technologies include electrospray ionization tandem mass spectrometry (ESI-MS\/MS).<\/li>\n<li>Targeted quantitative assays of specific protein analytes relevant to diabetes in support of clinical and translational studies.<\/li>\n<li>Development of new MS methods for structural identification or quantification of biomolecules involved in the pathogenesis of diabetes and its complications, risk factors, or treatment.<\/li>\n<li>Training in principles of MS and LCMS and data analysis and interpretation.<\/li>\n<li>Bioinformatics support for analyzing and interpreting proteomic data sets and for integrating them with Gene Ontology, protein-protein interaction databases, and pathway analysis.<\/li>\n<li>Computational and bioinformatics support and training for transcriptomics (e.g., RNA-seq) and metabolomics data, including differential feature analysis, functional enrichment and pathway analysis, as well as gene product interaction network analysis.<\/li>\n<li>A central facility for data storage, dissemination, and sharing.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-sidebar.php","meta":{"_mi_skip_tracking":false,"footnotes":""},"class_list":["post-61","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/pages\/61","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/comments?post=61"}],"version-history":[{"count":12,"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/pages\/61\/revisions"}],"predecessor-version":[{"id":12419,"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/pages\/61\/revisions\/12419"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/diabetes\/wp-json\/wp\/v2\/media?parent=61"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}