Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice

Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice

Background Diabetic kidney disease (DKD) is the leading cause of death in people with type 2 diabetes mellitus (T2DM). The main objective of this study is to find the potential biomarkers for DKD. Materials and Methods Two datasets (GSE86300 and GSE184836) retrieved from Gene Expression Omnibus (GEO...

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Bibliographic Details
Main Authors: Jing Zhao, Kaiying He, Hongxuan Du, Guohua Wei, Yuejia Wen, Jiaqi Wang, Xiaochun Zhou, Jianqin Wang
Format: Article
Language:English
Published: PeerJ Inc. 2022-09-01
Series:PeerJ
Subjects:
Diabetic kidney disease (DKD)
RNA-seq
Bioinformatics analysis
Differentially expressed genes (DEGs)
Biomarker
Online Access:https://peerj.com/articles/13932.pdf

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