2018
DOI: 10.3892/mmr.2018.9161
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Weighted gene co‑expression network analysis in identification of key genes and networks for ischemic‑reperfusion remodeling myocardium

Abstract: Acute myocardial infarction induces ventricular remodeling, which is implicated in dilated heart and heart failure. The pathogenical mechanism of myocardium remodeling remains to be elucidated. The aim of the present study was to identify key genes and networks for myocardium remodeling following ischemia-reperfusion (IR). First, the mRNA expression data from the National Center for Biotechnology Information database were downloaded to identify differences in mRNA expression of the IR heart at days 2 and 7. Th… Show more

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Cited by 10 publications
(10 citation statements)
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“…Network medicine is a new approach that focuses on the application of systems biology to holistically study the molecular complexity of a particular disease (Fiscon et al, 2018;Lee and Loscalzo, 2019). On the basis of a theory that genes with a similar pattern of expression can have similar functions or take part in specific pathways, weighted gene co-expression network analysis (WGCNA) is used to explain gene correlation patterns across microarray and RNA-seq data in order to obtain co-expressed gene networks related to various diseases (Chen et al, 2019;Guo et al, 2018;Huayan and Runhong, 2019;Wang et al, 2019). WGCNA constructs a gene co-expression network that captures transcript relationships as defined in the pattern of gene expression in which genes in the same module may have similar functionality or may be regulated by regulatory factors (Langfelder and Horvath, 2007).…”
Section: Network-based Analysis Reveals Association Of Foxe1 Gene Polmentioning
confidence: 99%
“…Network medicine is a new approach that focuses on the application of systems biology to holistically study the molecular complexity of a particular disease (Fiscon et al, 2018;Lee and Loscalzo, 2019). On the basis of a theory that genes with a similar pattern of expression can have similar functions or take part in specific pathways, weighted gene co-expression network analysis (WGCNA) is used to explain gene correlation patterns across microarray and RNA-seq data in order to obtain co-expressed gene networks related to various diseases (Chen et al, 2019;Guo et al, 2018;Huayan and Runhong, 2019;Wang et al, 2019). WGCNA constructs a gene co-expression network that captures transcript relationships as defined in the pattern of gene expression in which genes in the same module may have similar functionality or may be regulated by regulatory factors (Langfelder and Horvath, 2007).…”
Section: Network-based Analysis Reveals Association Of Foxe1 Gene Polmentioning
confidence: 99%
“…This is reflected by our data that neutrophil count measured post PPCI was associated with the level of peak troponin-I, which translated into the difference of LVEF at discharge. STEMI patients with night symptom-onset might have a higher cardiomyocyte vulnerability to I/R injury, which regulated by cardiomyocyte circadian clock genes has been suggested [ 22 , 23 ].…”
Section: Discussionmentioning
confidence: 99%
“…By constructing a scale-free weighted network, WGCNA can investigate biologically meaningful gene sets connected to sample features and explore inner module hub genes that are highly associated inside the co-expression module. WGCNA has been successfully used to identify key modules and hub genes related to cardiovascular diseases, such as atherosclerosis, heart failure, and acute myocardial infarction [ 28 , 29 , 30 ]. So far, data collected at different time points of AAA progression have not been subjected to WGCNA analysis to identify the critical modules and hub genes.…”
Section: Introductionmentioning
confidence: 99%