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September 29, 2022Frontiers in PhysiologyOpen Access

Identification of hub genes associated with acute kidney injury induced by renal ischemia–reperfusion injury in mice

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Authors

SHSheng HeLHLili HeFYFangran Yan

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Overview

Bioinformatic analysis identifies critical hub genes and pathways in mouse renal ischemia-reperfusion injury, highlighting potential therapeutic targets for acute kidney injury.

Key Points

  • To identify key differentially expressed genes, signaling pathways, and regulatory molecular networks associated with acute kidney injury induced by ischemia–reperfusion injury in mice.
  • Analyzed two Gene Expression Omnibus microarray datasets (GSE39548 and GSE131288) using the R limma package to detect differentially expressed genes between renal ischemia–reperfusion injury and control samples.
  • Performed Gene Ontology, KEGG, and gene set enrichment analyses, constructed protein-protein interaction networks, and predicted transcription factor, microRNA, and drug interactions using DGIdb.
  • Identified 323 common differentially expressed genes (260 upregulated, 66 downregulated) significantly enriched in cytokine production, apoptosis, MAPK, PI3K-Akt, and TNF signaling pathways.
  • Identified 10 central hub genes (Jun, Stat3, MYC, Cdkn1a, Hif1a, FOS, Atf3, Mdm2, Egr1, and Ddit3) along with 34 predicted transcription factors, 161 microRNAs, and 299 interacting drug compounds.

Cite This Study

He et al. (2022) studied this question.

synapsesocial.com/papers/6a9faca7fe80d3ecfb7c64behttps://doi.org/10.3389/fphys.2022.951855
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification of hub genes and enriched pathways in renal ischemia–reperfusion injury via integrative transcriptomic and network analysis2025
  2. 2Identification of Hub Genes and Pathways in a Rat Model of Renal Ischemia-Reperfusion Injury Using Bioinformatics Analysis of the Gene Expression Omnibus (GEO) Dataset and Integration of Gene Expression Profiles2019 · 46 citations
  3. 3Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis2024
  4. 4Identification and Validation of Potential Biomarkers and Their Functions in Acute Kidney Injury2020 · 43 citations
  5. 5Analysis of hub genes temporal dynamics in cardiac ischemia/reperfusion injury: a bioinformatics and experimental study2025 · 1 citations