Interaction network analysis of differentially expressed genes in mice with unclassified haemophilus influenzae induced otitis media
Liu Jiali
Wang Wei
Wang Zimeng
Fan Fangmei
Ma Yurong
Yu Lin
He Yujuan
Abstract：Objective Using bioinformatics methods to analyze gene expression microarray of otitis media in order to establish a protein interaction network. Methods The microarray data sets of otitis media from the mouse were down-loaded from the public gene expression database Gene Expression Ombibus (GEO ). The differentially expressed genes were screened by Affymetrix Expression Console software and Transcriptome Analysis Console (TAC) software. Then the differentially expressed genes were introduced into the STRING online database for analysis, and the interaction net-work was established. The interaction data was subsequently introduced into the Cytoscape 3.4.0 software, and the net-work center nodes were screened, and those relatively independent sub-networks associated with the inflammation genes were selected. David online tools were used for functional annotation enrichment analysis of these sub-networks. Results A total of 1166 differentially expressed genes were screened out, including 793 up-regulated and 373 down-reg-ulated. Screened by STRING, interactions of protein products from 459 differentially expressed genes were found, andthe corresponding protein interaction network was obtained. Conclusion In this study, bioinformatics techniques were used to construct the interaction network of the differentially expressed genes for otitis media. The network, especially the center node gene could provide new clues of the molecular mechanism of otitis media, and guide the targeted therapy.
Keywords：Nontypeable Haemophilus influenzaeOtitis mediaMicroarrayInteraction network
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 94-98 )