Molecular Function of Core Target Genes in Type 2 Diabetes

12.7 KB of Excel data from a 2026 figshare upload by Fanqiang Zeng. The dataset likely contains results from an integrated network pharmacology, molecular docking, and experimental validation study investigating calcitriol's therapeutic effects on Type 2 Diabetes. It focuses on potential key targets STAT3, HSP90AA1, MAPK1, and PIK3R1 identified in a high glucose-induced MIN6 cell model.

Use Cases

• Validate computational predictions of drug targets based on identified genes STAT3, HSP90AA1, MAPK1, and PIK3R1.
• Analyze gene expression changes under high glucose conditions based on mRNA and protein level data.
• Study the relationship between endoplasmic reticulum stress pathways and Type 2 Diabetes progression.
• Investigate the therapeutic mechanisms of calcitriol in pancreatic β-cell survival.

Strengths

• Data is derived from an integrated approach combining network pharmacology, molecular docking, and experimental validation.
• Specific key targets (STAT3, HSP90AA1, MAPK1, PIK3R1) are identified and validated in a MIN6 cell model.
• File size is 12.7 KB, indicating a focused dataset suitable for quick analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (12.7 KB), indicating limited scope and likely a subset of experimental results.

Provenance

Source

figshare

Collection Method

Integrated network pharmacology, molecular docking, and experimental validation using a high glucose-induced MIN6 cell model.

Freshness

Last updated 2026-04-16 17:32:15; freshness should be verified.