Work overview

Section 07 of 11

Availability of data and materials

Transcriptomic and genetic evidence highlights EHHADH in a FUNDC1-associated mitochondrial network in diabetic nephropathy

Yuzhi Chen, Demei Ying, Xuli Guo, Shaozhe Wang, Wenjing Liu, Siwen Wang, Na Kuang, Jiahan Li, and Nan Chen · 2026

Contents

Section 07 of 11

  1. 01Background
  2. 02Methods
  3. 03Results
  4. 04Discussion
  5. 05Conclusion
  6. 06CRediT authorship contribution statement
  7. 07Availability of data and materials
  8. 08Ethics approval and consent to participate
  9. 09Consent for publication
  10. 10Funding
  11. 11Declaration of competing interests
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Work overview

Section 7 of 11

Availability of data and materials

Yuzhi Chen, Demei Ying, Xuli Guo, Shaozhe Wang, Wenjing Liu, Siwen Wang, Na Kuang, Jiahan Li, and Nan Chen · about 1 minutes

Original source ↗

The GSE96804/GSE294519 transcriptomic dataset analyzed in this study is publicly available in the Gene Expression Omnibus (GEO) database under accession number GSE96804/GSE294519: https://www.ncbi.nlm.nih.gov/geo. Cis-eQTL summary statistics were obtained from the eQTLGen Consortium: https://www.eqtlgen.org. DN GWAS summary data were retrieved from the GWAS Catalog (accession: GCST90475670): https://www.ebi.ac.uk/gwas. Gene interaction data were derived from: BioGRID: https://thebiogrid.org; STRING: https://string-db.org; GeneMANIA: https://genemania.org. Mitochondrial dysfunction-related genes were collected from the GeneCards database: https://www.genecards.org. Potential upstream transcription factors were predicted using ChEA3: https://maayanlab.cloud/chea3. All datasets used in this study are publicly accessible. Processed data and supplementary materials generated during this study are included in the Supplementary Materials. Further information is available from the corresponding author upon reasonable request.