Integrated Causal Inference and Transcriptomics Data on ChREBP in Diabetic Kidney Disease

A research document integrating Mendelian randomization, kidney transcriptomics, and experimental validation to investigate the role of the ChREBP transcription factor in diabetic kidney disease. The 16.4 KB file was authored by Mingliang Liu and last updated on April 15, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Validate causal gene-disease relationships based on the described Mendelian randomization analysis.
• Study metabolic pathway activity in kidney disease based on the transcriptomic stratification and GSEA/GSVA results.
• Investigate gene regulatory networks in diabetic kidney disease based on the described network inference.
• Design experimental validation studies for candidate genes based on the described mouse and cell culture models.

Strengths

• Integrates multiple analytical methods: Mendelian randomization, transcriptomics, network analysis, and experimental validation.
• Includes replication in a non-diabetic stratum for urinary albumin-to-creatinine ratio associations.
• File is openly licensed under CC-BY-4.0.

Limitations

• Dataset is a 16.4 KB DOCX file, indicating limited raw data scope; likely a summary document.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and structure must be verified.

Provenance

Source

figshare

Collection Method

Integrated analysis of public genetic and transcriptomic data (e.g., GSE30529) with original experimental validation.

Time Range

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Freshness

Last updated 2026-04-15 05:43:06

Geography

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