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Bioinformatics‐Driven New Immune Target Discovery in Disease
Author(s) -
Yang C.,
Chen P.,
Zhang W.,
Du H.
Publication year - 2016
Publication title -
scandinavian journal of immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.934
H-Index - 88
eISSN - 1365-3083
pISSN - 0300-9475
DOI - 10.1111/sji.12452
Subject(s) - biomarker discovery , computational biology , disease , biomarker , immune system , antigen , biology , translational bioinformatics , heat shock protein , gene , mechanism (biology) , bioinformatics , immunology , proteomics , genomics , genetics , medicine , genome , philosophy , epistemology , pathology
Abstract Biomolecular network analysis has been widely applied in the discovery of cancer driver genes and molecular mechanism anatomization of many diseases on the genetic level. However, the application of such approach in the potential antigen discovery of autoimmune diseases remains largely unexplored. Here, we describe a previously uncharacterized region, with disease‐associated autoantigens, to build antigen networks with three bioinformatics tools, namely NetworkAnalyst, Gene MANIA and ToppGene. First, we identified histone H2 AX as an antigen of systemic lupus erythematosus by comparing highly ranked genes from all the built network‐derived gene lists, and then a new potential biomarker for Behcet's disease, heat shock protein HSP 90‐alpha ( HSP 90 AA 1), was further screened out. Moreover, 130 confirmed patients were enrolled and a corresponding enzyme‐linked immunosorbent assay, mass spectrum analysis and immunoprecipitation were performed to further confirm the bioinformatics results with real‐world clinical samples in succession. Our findings demonstrate that the combination of multiple molecular network approaches is a promising tool to discover new immune targets in diseases.