Identification and Validation of Potential Biomarkers and Their Functions in Acute Kidney Injury

Frontiers in Genetics
Jianwen ChenXiangmei Chen

Abstract

Acute kidney injury (AKI) is a global public health concern associated with high morbidity, mortality, and health-care costs, and the therapeutic measures are still limited. This study aims to investigate crucial genes correlated with AKI, and their potential functions, which might contribute to a better understanding of AKI pathogenesis. The high-throughput data GSE52004 and GSE98622 were downloaded from Gene Expression Omnibus; four group sets were extracted and integrated. Differentially expressed genes (DEGs) in the four group sets were identified by limma package in R software. The overlapping DEGs among four group sets were further analyzed by the VennDiagram package, and their potential functions were analyzed by the GO and KEGG pathway enrichment analyses using the DAVID database. Furthermore, the protein-protein interaction (PPI) network was constructed by STRING, and the functional modules of the PPI network were filtered by MCODE and ClusterOne in Cytoscape. Hub genes of overlapping DEGs were identified by Cyto-Hubba and cytoNCA. The expression of 35 key genes was validated by quantitative real-time PCR (qRT-PCR). Western blot and immunofluorescence were performed to validate an important gene Egr1. A total of 722 ov...Continue Reading

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Citations

Jan 30, 2022·The American Journal of Pathology·Zhengwei MaZheng Dong

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Datasets Mentioned

BETA
GSE52004
GSE98622
GSM1257113
GSM1257115
CRE

Methods Mentioned

BETA
PCR
chip
PCA

Software Mentioned

cytoNCA
RStudio
Hubba
Cytoscape
R
- Hubba
MCODE
DAVID
limma
Cyto

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