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

A 15.7 KB DOCX file containing research data and analysis on the role of the ChREBP transcription factor in diabetic kidney disease. The dataset was authored by Mingliang Liu and last updated on April 15, 2026. It integrates genetic inference, kidney transcriptomic stratification, network analyses, and experimental validation from studies including GSE30529 and db/db mice.

Use Cases

• Validate causal gene-disease relationships based on Mendelian randomization analysis mentioned in the description
• Analyze metabolic and profibrotic pathway activity based on MLXIPL-high/low stratification described in the methods
• Study gene regulatory networks in kidney disease based on the network inference results
• Correlate transcriptomic signatures with experimental validation data from db/db mice and primary PTECs

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Research integrates multiple analysis methods: Mendelian randomization, transcriptomic stratification, network inference, and experimental validation.
• Last update date is explicitly provided: 2026-04-15.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is a 15.7 KB DOCX file, indicating a very limited scope, likely containing summary results and analysis rather than raw data tables.

Provenance

Source

figshare

Collection Method

Integrated analysis from two-sample Mendelian randomization, kidney transcriptomics dataset GSE30529, network analyses, and experimental validation in db/db mice and primary PTECs.

Time Range

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Freshness

Last updated 2026-04-15 05:43:06; freshness should be verified.

Geography

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