Literature DB >> 25948119

Identification by microarray technology of key genes involved in the progression of carotid atherosclerotic plaque.

Jian Wang1, Bo Wei, Shuwei Cao, Fengke Xu, Wei Chen, Haifeng Lin, Chenghua Du, Zhigang Sun.   

Abstract

A comparative analysis of gene expression profiles between early and advanced carotid atherosclerotic plaque was performed to identify key genes and pathways involved in the progression of carotid atherosclerotic plaque. Gene expression data set GSE28829 was downloaded from Gene Expression Omnibus, including 13 early and 16 advanced atherosclerotic plaque samples from human carotid. Differentially expressed genes (DEGs) were identified using the package limma of R. Principal component analysis was carried out for the DEGs with package rgl of R. A gene coexpression network was constructed with information from COXPRESdb and then visualized with Cytoscape. Functional enrichment analysis was performed with DAVID and pathway enrichment analysis was done with KEGG. A total of 319 DEGs were identified in the advanced atherosclerotic plaque samples compared with early atherosclerotic plaque samples, including 267 up-regulated genes and 52 down-regulated genes. In the gene coexpression network, TYRO protein tyrosine kinase binding protein was the hub gene with a degree of 23. Functional enrichment analysis and pathway enrichment analysis suggested that the immune response played a critical role in the progression of carotid atherosclerotic plaque. A number of key genes were revealed in carotid atherosclerotic plaque, and are potential biomarkers for diagnosis or treatment. These findings may also guide future research to better decipher the progression of atherosclerosis.

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Year:  2014        PMID: 25948119     DOI: 10.1266/ggs.89.253

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  6 in total

1.  Integrated bioinformatics analysis for the identification of key genes and signaling pathways in thyroid carcinoma.

Authors:  Bo Zhang; Zuoyu Chen; Yuyun Wang; Guidong Fan; Xianghui He
Journal:  Exp Ther Med       Date:  2021-01-28       Impact factor: 2.447

2.  Differentially expressed genes and canonical pathway expression in human atherosclerotic plaques - Tampere Vascular Study.

Authors:  Miska Sulkava; Emma Raitoharju; Mari Levula; Ilkka Seppälä; Leo-Pekka Lyytikäinen; Ari Mennander; Otso Järvinen; Rainer Zeitlin; Juha-Pekka Salenius; Thomas Illig; Norman Klopp; Nina Mononen; Reijo Laaksonen; Mika Kähönen; Niku Oksala; Terho Lehtimäki
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

3.  Gene expression profile analysis of the progression of carotid atherosclerotic plaques.

Authors:  Wangmi Liu; Yanxin Zhao; Jiayan Wu
Journal:  Mol Med Rep       Date:  2018-02-08       Impact factor: 2.952

4.  Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.

Authors:  Shengqing Hu; Yunfei Liao; Lulu Chen
Journal:  Med Sci Monit       Date:  2018-09-14

5.  Identification of Pivotal Genes and Pathways in Osteoarthritic Degenerative Meniscal Lesions via Bioinformatics Analysis of the GSE52042 Dataset.

Authors:  Xu Huan; Ying Jinhe; Zheng Rongzong
Journal:  Med Sci Monit       Date:  2019-11-23

6.  Weighted Gene Co-expression Network Analysis Identifies Crucial Genes Mediating Progression of Carotid Plaque.

Authors:  Mengyin Chen; Siliang Chen; Dan Yang; Jiawei Zhou; Bao Liu; Yuexin Chen; Wei Ye; Hui Zhang; Lei Ji; Yuehong Zheng
Journal:  Front Physiol       Date:  2021-02-05       Impact factor: 4.566

  6 in total

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