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Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
by
Guo, Weiying
, Hu, Jinxing
, Zhou, Shan
in
Arthritis
/ Autoimmune diseases
/ Autoimmune inflammatory disease
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ Differentially expressed genes
/ Endocytosis
/ Endoplasmic reticulum
/ Eye diseases
/ Gene coexpression networks
/ Gene expression
/ Genes
/ Graves' disease
/ Human Genetics
/ Localization
/ Medical research
/ miRNA
/ Pathogenesis
/ Primary Research
/ Proteasomes
/ Proteins
/ Protein–protein interaction
/ Proteolysis
/ Proteomics
/ Thyroid
/ Thyroid eye disease
/ Thyroid gland
/ Ubiquitin
2022
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Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
by
Guo, Weiying
, Hu, Jinxing
, Zhou, Shan
in
Arthritis
/ Autoimmune diseases
/ Autoimmune inflammatory disease
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ Differentially expressed genes
/ Endocytosis
/ Endoplasmic reticulum
/ Eye diseases
/ Gene coexpression networks
/ Gene expression
/ Genes
/ Graves' disease
/ Human Genetics
/ Localization
/ Medical research
/ miRNA
/ Pathogenesis
/ Primary Research
/ Proteasomes
/ Proteins
/ Protein–protein interaction
/ Proteolysis
/ Proteomics
/ Thyroid
/ Thyroid eye disease
/ Thyroid gland
/ Ubiquitin
2022
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Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
by
Guo, Weiying
, Hu, Jinxing
, Zhou, Shan
in
Arthritis
/ Autoimmune diseases
/ Autoimmune inflammatory disease
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ Differentially expressed genes
/ Endocytosis
/ Endoplasmic reticulum
/ Eye diseases
/ Gene coexpression networks
/ Gene expression
/ Genes
/ Graves' disease
/ Human Genetics
/ Localization
/ Medical research
/ miRNA
/ Pathogenesis
/ Primary Research
/ Proteasomes
/ Proteins
/ Protein–protein interaction
/ Proteolysis
/ Proteomics
/ Thyroid
/ Thyroid eye disease
/ Thyroid gland
/ Ubiquitin
2022
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Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
Journal Article
Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
2022
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Overview
Background
Thyroid eye disease (TED) is the most common orbital pathology that occurs in up to 50% of patients with Graves’ disease. Herein, we aimed at discovering the possible hub genes and pathways involved in TED based on bioinformatical approaches.
Results
The GSE105149 and GSE58331 datasets were downloaded from the Gene Expression Omnibus (GEO) database and merged for identifying TED-associated modules by weighted gene coexpression network analysis (WGCNA) and local maximal quasi-clique merger (lmQCM) analysis. EdgeR was run to screen differentially expressed genes (DEGs). Transcription factor (TF), microRNA (miR) and drug prediction analyses were performed using ToppGene suite. Function enrichment analysis was used to investigate the biological function of genes. Protein–protein interaction (PPI) analysis was performed based on the intersection between the list of genes obtained by WGCNA, lmQCM and DEGs, and hub genes were identified using the MCODE plugin. Based on the overlap of 497 genes retrieved from the different approaches, a robust TED coexpression network was constructed and 11 genes (ATP6V1A, PTGES3, PSMD12, PSMA4, METAP2, DNAJA1, PSMA1, UBQLN1, CCT2, VBP1 and NAA50) were identified as hub genes. Key TFs regulating genes in the TED-associated coexpression network, including NFRKB, ZNF711, ZNF407 and MORC2, and miRs including hsa-miR-144, hsa-miR-3662, hsa-miR-12136 and hsa-miR-3646, were identified. Genes in the coexpression network were enriched in the biological processes including proteasomal protein catabolic process and proteasome-mediated ubiquitin-dependent protein catabolic process and the pathways of endocytosis and ubiquitin-mediated proteolysis. Drugs perturbing genes in the coexpression network were also predicted and included enzyme inhibitors, chlorodiphenyl and finasteride.
Conclusions
For the first time, TED-associated coexpression network was constructed and key genes and their functions, as well as TFs, miRs and drugs, were predicted. The results of the present work may be relevant in the treatment and diagnosis of TED and may boost molecular studies regarding TED.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
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