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

Mendelian randomization and kidney transcriptomic data from the GSE30529 study, integrated with experimental validation in db/db mice and primary cells. The dataset, authored by Mingliang Liu and last updated on 2026-04-15, supports the pathogenic role of the transcription factor ChREBP (MLXIPL) in diabetic kidney disease. It is a 15.9 KB DOCX file licensed under CC-BY-4.0.

Use Cases

• Conducting two-sample Mendelian randomization analysis based on blood cis-eQTL instruments for MLXIPL.
• Performing gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) based on MLXIPL-high/low stratification within DKD transcriptomes.
• Inferring metabolic and regulatory networks based on the described interaction landscape involving MLXIPL/ChREBP.
• Validating computational findings with experimental data from db/db mice and primary proximal tubular epithelial cells.

Strengths

• Data integrates multiple analysis methods: Mendelian randomization, transcriptomic stratification, network analysis, and experimental validation.
• Includes replication in a non-diabetic UACR stratum, as mentioned in the description.
• Licensed under the permissive CC-BY-4.0 license.

Limitations

• The dataset is a 15.9 KB DOCX file, indicating a very limited scope, likely containing summary text and results rather than raw data.
• Column-level documentation and sample data are unavailable, making field semantics and structure unclear.
• Row count is unknown, which may limit suitability assessment for computational tasks.

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 05:43:07; freshness should be verified.

Geography

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