Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus
Joint Authors
Li, Bo
Xue, Zhiqiang
Lv, Yaogai
Li, Kexin
Zheng, Pingping
Jin, Lina
Yao, Yan
Feng, Tianyu
Wang, Yanjun
Shen, Li
Chen, Yang
Source
Oxidative Medicine and Cellular Longevity
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Objective.
Type 2 diabetes mellitus (T2DM) is a metabolic disease with high incidence, which has seriously affected human life and health.
MicroRNA, a short-chain noncoding RNA, plays an important role in T2DM.
Identification of meaningful microRNA modules and the role of microRNAs provide a basis for searching potential biomarkers of T2DM.
Materials and Methods.
In this study, three newly diagnosed patients with T2DM and three controls were selected for Whole Peripheral Blood RNA Sequencing to establish a microRNA library.
Weighted gene coexpression network analysis (WGCNA) was applied to construct coexpression modules and to detect the trait-related microRNA modules; then, KEGG enrichment analysis was performed to predict the biological function of the interest modules, and candidate hub microRNAs were screened out by the value of module membership (MM) and protein-protein interaction (PPI) network.
Result.
Four microRNA modules (blue, brown, magenta, and turquoise) were highly associated with the T2DM; the number of miRNAs in these modules ranged from 41 to 469.
The Fc gamma R-mediated phagocytosis pathway, Rap1 signaling pathway, MAPK signaling pathway, and Lysosome pathway were common pathways in three of the four modules.
RPS27A, UBC, and RAC1 were the top three proteins in our study; their corresponding RNAs were miR-1271-5p, miR-130a-3p, miR-130b-3p, and miR-574-3p.
Conclusion.
In summary, this study identified blood miRNAs in human T2DM using RNA sequencing.
The findings may be the foundation for understanding the potential role of miRNAs in T2DM.
American Psychological Association (APA)
Feng, Tianyu& Li, Kexin& Zheng, Pingping& Wang, Yanjun& Lv, Yaogai& Shen, Li…[et al.]. 2019. Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus. Oxidative Medicine and Cellular Longevity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1206480
Modern Language Association (MLA)
Feng, Tianyu…[et al.]. Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus. Oxidative Medicine and Cellular Longevity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1206480
American Medical Association (AMA)
Feng, Tianyu& Li, Kexin& Zheng, Pingping& Wang, Yanjun& Lv, Yaogai& Shen, Li…[et al.]. Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus. Oxidative Medicine and Cellular Longevity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1206480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206480