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pmid:33585004
Introducing GATA3 as a prominent player in Crohn's disease.
Sina Rezaei-Tavirani · Nastaran Asri · MohammadAli Emamhadi · Somayeh Jahani-Sherafat · Ali Seyed Salehi · Zahra Gholamrezaei · Elena Lak
Gastroenterology and hepatology from bed to bench · 2020
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partial
Experiment
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Data
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Analysis
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Execution
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Complete file
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PPI network analysis is a suitable tool to clarify a critical gene as a drug target or diagnostic biomarker for these types of diseases.\nMETHODS: Gene expression profile GSE126124 of 20 CD patients and 20 healthy controls was obtained from the Gene Expression Omnibus (GEO) database. RNA profile of peripheral blood mononuclear cells (PBMCs) and colon biopsy samples of the studied groups was investigated. Crucial genes were selected and analyzed via the PPI network by Cytoscape software. Gene ontology enrichment for the hubs, bottlenecks, and hub-bottlenecks was performed via CluGO plugin of Cytoscape software.\nRESULTS: Eighty-one differentially expressed genes (DEGs) among 250 initial DEGs were highlighted as significant by FC>2 and p-value ≤ 0.05, and 69 significant DEGs were used for PPI network construction. The network was characterized by poor connections, so 20 top neighbors were added to form a scale-free network. 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