Dataset Information

Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.

ABSTRACT: Chronic hypoxia can be observed in the heart under physiological or pathophysiological states, including embryonic development or cyanotic congenital heart disease. The aim of the present study was to examine gene expression profiles of chronically hypoxic myocardium and to explore the pathophysiological mechanisms by which the heart adapts to chronic hypoxia. Raw data from the next?generation sequencing data set GSE36761 were downloaded from the Gene Expression Omnibus database. The data set comprised 30 specimens, including 8 healthy myocardia and 22 tetralogy of Fallot (TOF) congenital cardiac malformations; only 7 original data sets of healthy myocardia were obtained, and 5/22 TOFs were excluded. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of differentially expressed genes (DEGs) were performed. Furthermore, network analysis of DEGs using Cytoscape software based on protein?protein interaction (PPI) data was also conducted. A total of 1,260 DEGs were selected, of which 926 DEGs were enriched in 83 GO biological process terms, including extracellular matrix organization, regeneration and monocyte chemotaxis. Furthermore, 406 DEGs were enriched in 13 KEGG pathways, including cytokine?cytokine receptor interaction, focal adhesion and apoptosis. PPI network analysis indicated that six hub genes with correlated degree scores >25 among nodes were identified, including G protein subunit ?4, C?C motif chemokine receptor (CCR)1, CCR2, platelet factor 4, catenin ?1 and Jun proto?oncogene (JUN). Of these, JUN was enriched in GO terms of regeneration and neuron projection regeneration, and in KEGG pathways of focal adhesion, apoptosis and Chagas disease (American trypanosomiasis). The present bioinformatics analysis of these DEGs and hub genes may provide a molecular insight to the role of diverse genes in the pathophysiology of chronically hypoxic myocardium and in myocardial adaptation to chronic hypoxia.

SUBMITTER: Wu F

PROVIDER: S-EPMC6472133 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.

Wu Fan F Gao Feng F He Siyi S Xiao Yingbin Y

Molecular medicine reports 20190301 5

Chronic hypoxia can be observed in the heart under physiological or pathophysiological states, including embryonic development or cyanotic congenital heart disease. The aim of the present study was to examine gene expression profiles of chronically hypoxic myocardium and to explore the pathophysiological mechanisms by which the heart adapts to chronic hypoxia. Raw data from the next‑generation sequencing data set GSE36761 were downloaded from the Gene Expression Omnibus database. The data set co ...[more]

PMID: 30864710

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Dataset Information

Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.

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Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.

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