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Article Open Access

Identification of potential genes and miRNAs associated with sepsis based on microarray analysis

  • Authors:
    • Yin Li
    • Fengxia Zhang
    • Yan Cong
    • Yun Zhao
  • View Affiliations / Copyright

    Affiliations: Emergency Department, Huadong Hospital, Shanghai 200040, P.R. China
    Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6227-6234
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    Published online on: March 1, 2018
       https://doi.org/10.3892/mmr.2018.8668
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Abstract

Sepsis is a type of systemic inflammatory response syndrome caused by infection. The present study aimed to examine key genes and microRNAs (miRNAs) involved in the pathogenesis of sepsis. The GSE13205 microarray dataset, downloaded from the Gene Expression Omnibus was analyzed using bioinformatics tools, and included muscle biopsy specimens of 13 patients with sepsis and eight healthy controls. The differentially expressed genes (DEGs) in samples from patients with sepsis were identified using the Linear Models for Microarray package in R language. Using the Database for Annotation, Visualization and Integration Discovery tool, functional and pathway enrichment analyses were performed to examine the potential functions of the DEGs. The protein‑protein interaction (PPI) network was constructed with the DEGs using the Search Tool for the Retrieval of Interacting Genes, and the network topology was analyzed using CytoNCA. Subsequently, MCODE in Cytoscape was used to identify modules in the PPI network. Finally, the integrated regulatory network was constructed based on the DEGs, miRNAs and transcription factors (TFs). A total of 259 upregulated DEGs (MYC and BYSL) and 204 downregulated DEGs were identified in the patients with sepsis. NOP14, NOP2, AATF, GTPBP4, BYSL and TRMT6 were key genes in the MCODE module. In the integrated DEG‑miRNA‑TF regulatory network, hsa‑miR‑150 (target gene MYLK3) and 21 TFs, comprising 14 upregulated DEGs (including MYC) and seven downregulated DEGs, were identified. The results suggested that NOP14, NOP2, AATF, GTPBP4, BYSL, MYC, MYLK3 and miR‑150 may be involved in the pathogenesis of sepsis.
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Copy and paste a formatted citation
Spandidos Publications style
Li Y, Zhang F, Cong Y and Zhao Y: Identification of potential genes and miRNAs associated with sepsis based on microarray analysis. Mol Med Rep 17: 6227-6234, 2018.
APA
Li, Y., Zhang, F., Cong, Y., & Zhao, Y. (2018). Identification of potential genes and miRNAs associated with sepsis based on microarray analysis. Molecular Medicine Reports, 17, 6227-6234. https://doi.org/10.3892/mmr.2018.8668
MLA
Li, Y., Zhang, F., Cong, Y., Zhao, Y."Identification of potential genes and miRNAs associated with sepsis based on microarray analysis". Molecular Medicine Reports 17.5 (2018): 6227-6234.
Chicago
Li, Y., Zhang, F., Cong, Y., Zhao, Y."Identification of potential genes and miRNAs associated with sepsis based on microarray analysis". Molecular Medicine Reports 17, no. 5 (2018): 6227-6234. https://doi.org/10.3892/mmr.2018.8668
Copy and paste a formatted citation
x
Spandidos Publications style
Li Y, Zhang F, Cong Y and Zhao Y: Identification of potential genes and miRNAs associated with sepsis based on microarray analysis. Mol Med Rep 17: 6227-6234, 2018.
APA
Li, Y., Zhang, F., Cong, Y., & Zhao, Y. (2018). Identification of potential genes and miRNAs associated with sepsis based on microarray analysis. Molecular Medicine Reports, 17, 6227-6234. https://doi.org/10.3892/mmr.2018.8668
MLA
Li, Y., Zhang, F., Cong, Y., Zhao, Y."Identification of potential genes and miRNAs associated with sepsis based on microarray analysis". Molecular Medicine Reports 17.5 (2018): 6227-6234.
Chicago
Li, Y., Zhang, F., Cong, Y., Zhao, Y."Identification of potential genes and miRNAs associated with sepsis based on microarray analysis". Molecular Medicine Reports 17, no. 5 (2018): 6227-6234. https://doi.org/10.3892/mmr.2018.8668
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