Identification of genes and pathways associated with multiple organ dysfunction syndrome by microarray analysis

Molecular Medicine Reports
Changwei GuKang Song

Abstract

Multiple organ dysfunction syndrome (MODS) is characterized by the development of progressive physiological dysfunction of ≥2 organs or organ systems and is responsible for the majority of the morbidity and mortality among patients in intensive care units. The aim of the present study was to investigate the potential genes and pathways associated with MODS. The microarray dataset GSE60088 was downloaded from the Gene Expression Omnibus and used to identify differentially expressed genes (DEGs) between organ tissues (lung, liver and kidney) obtained from a murine model of MODS and healthy controls. The interactions between DEGs in lungs, liver and kidneys were revealed by Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Furthermore, protein‑protein interaction (PPI) data for DEGs were obtained from the Search Tool for the Retrieval of Interacting Genes and a PPI network was constructed. Additionally, DEGs that were common among the three organs were screened and transcription factors that regulated them were predicted using the iRegulon plugin. A total of 943, 267 and 227 DEGs were identified in lung, liver and kidney samples, respectively, between mice with MODS and healthy controls. In lung and liver sample...Continue Reading

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Citations

Aug 6, 2021·Laryngo- rhino- otologie·Athanasia Warnecke, Anja Giesemann

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Datasets Mentioned

BETA
GSE60088

Methods Mentioned

BETA
GTPase

Software Mentioned

pheatmap
iRegulon
Affy package
Limma
Cytoscape
R
Search Tool for the
Venny
gplots
Bioconductor

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