Proteomic and Immune Cell Data from a Mouse Model of Kidney Fibrosis

A mouse model study investigating the effects of the drug aprotinin on kidney fibrosis. The dataset includes proteomic profiles, immune cell deconvolution results, and validation data from Western blotting and flow cytometry. The data was generated by Xinyu Wang and last updated on 2026-05-01.

Use Cases

• Identify differentially expressed proteins associated with renal fibrosis based on LC-MS/MS proteomic profiling.
• Analyze immune cell infiltration changes in kidney disease using CIBERSORT-based deconvolution results.
• Validate potential drug targets like Cathepsin S (CTSS) and ERK signaling pathways mentioned in the description.
• Investigate dose-dependent therapeutic effects on tubular injury and interstitial fibrosis.

Strengths

• Includes multi-modal validation data from proteomics, histology, serum markers, gene expression, and flow cytometry.
• Explicitly compares two drug doses (0.5 mg/day and 1 mg/day) over a 7-day treatment period.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is small (308.5 KB), suggesting limited scope, likely consisting of summary results rather than raw experimental data.
• Freshness should be verified as the last update is dated 2026-05-01.

Provenance

Source

figshare

Collection Method

Generated from a laboratory study using a unilateral ureteral obstruction (UUO) mouse model, LC-MS/MS proteomic profiling, and immune deconvolution.

Freshness

2026-05-01