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Identification and interaction analysis of key genes and micro RNA s in atopic dermatitis by bioinformatics analysis
Author(s) -
Li H. M.,
Xiao Y. J.,
Min Z. S.,
Tan C.
Publication year - 2019
Publication title -
clinical and experimental dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 78
eISSN - 1365-2230
pISSN - 0307-6938
DOI - 10.1111/ced.13691
Subject(s) - atopic dermatitis , microrna , gene , biology , microarray , computational biology , interaction network , microarray analysis techniques , dna microarray , bioinformatics , identification (biology) , gene expression , database , genetics , immunology , computer science , botany
Summary Background Atopic dermatitis ( AD ) is a skin disease that carries a major health burden, but the exact mechanism of the disease is not yet known. Aim To identify the key genes and micro (mi) RNA s in AD , and to explore their potential molecular mechanisms. Methods From the Gene Expression Omnibus ( GEO ) database, we downloaded microarray data for GSE 32924 ( mRNA profile) and GSE 31408 (mi RNA profile), which were analysed using GEO 2R. Functional and pathway enrichment analyses were performed using the DAVID database, and the protein–protein interaction network was constructed with Cytoscape software. In addition, targets of differentially expressed mi RNA s ( DEM s) were predicted by the online resource mi RDB . Results In total, 328 differentially expressed genes ( DEG s) were identified, including 121 upregulated and 207 downregulated genes. Gene Ontology analyses showed that upregulated genes were significantly enriched in immune responses, while downregulated genes were mainly involved in epidermis development. In addition, we identified three DEM s, all of which were downregulated. Hsa‐let‐7a‐5p may target CCR 7, and hsa‐miR‐26a‐5p probably targets HAS 3. Conclusions We identified lists of DEG s and DEM s in AD . Bioinformatics and interaction analysis may provide new clues for further studies of AD .