Literature DB >> 30291872

Identification of several key genes by microarray data analysis of bovine mammary gland epithelial cells challenged with Escherichia coli and Staphylococcus aureus.

Huansheng Han1.   

Abstract

PURPOSE: This study was aimed at exploring the mechanisms and identifying the key candidate genes associated with S. aureus and E. coli mastitis.
METHODS: A public microarray dataset GSE24560 was downloaded. Differentially expressed genes (DEGs) were screened in E. coli- and S. aureus-infected primary bovine mammary gland epithelial cell (pBMEC) samples, and compared with control samples at 1 h, 6 h, and 24 h. A functional enrichment analysis was performed, and construction of a gene co-expression network was performed based on genes that showed consistent changes over time, which were identified using time series expression analysis. Then, a miRNA/TF regulatory network was constructed based on the genes in the co-expression network. The genes in the miRNA/TF regulatory network were screened for involvement in related diseases. Furthermore, the expression of several selected DEGs was further validated using real-time RT-PCR.
RESULTS: In total, 92 and 81 DEGs showed continuous differential expression over time in the E. coli- and S. aureus-inoculated groups. DEGs in the E. coli-inoculated group were associated with the RIG-I-like receptor signaling pathway, and those in the S. aureus-inoculated group were associated with the lysosome pathway. Time series expression analysis identified two gene clusters. NFKBIZ and GRO1 in the gene co-expression network were associated with inflammatory and defense responses. Moreover, several genes such as CXADR, APP, and CXCL2 in the miRNA/TF regulatory network, were associated with infection, inflammation, or stress-related diseases.
CONCLUSION: RIG-I like receptor pathway and several DEGs such as NFKBIZ, GRO1, CXCL2, and CXADR may play critical roles in the response to infection in pBMECs.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine mastitis; Differentially expressed genes; Pathogen; Time series expression analysis

Mesh:

Substances:

Year:  2018        PMID: 30291872     DOI: 10.1016/j.gene.2018.10.004

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  5 in total

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4.  Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows With Staphylococcus aureus Induced Mastitis.

Authors:  Mengqi Wang; Yan Liang; Eveline M Ibeagha-Awemu; Mingxun Li; Huimin Zhang; Zhi Chen; Yujia Sun; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Front Genet       Date:  2020-10-19       Impact factor: 4.599

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Journal:  Anim Biosci       Date:  2020-05-12
  5 in total

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