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

Aprotinin's dose-dependent effects on renal fibrosis were studied using a unilateral ureteral obstruction mouse model. Proteomic profiling, immune deconvolution, and validation assays were performed on samples from mice treated for 7 days. The dataset was created by Xinyu Wang and last updated on May 1, 2026.

Use Cases

• Identify differentially expressed proteins related to immune regulation based on LC-MS/MS proteomic profiling.
• Analyze immune cell infiltration changes, such as follicular helper T cell reduction, using CIBERSORT-based deconvolution.
• Investigate dose-dependent treatment effects on renal injury and fibrosis based on histological and serum marker data.
• Validate protein expression and signaling pathways, like ERK inhibition, using Western blot and immunohistochemistry results.

Strengths

• Includes multi-modal validation data from proteomics, histology, serum markers, and flow cytometry.
• Data is associated with a specific experimental model (unilateral ureteral obstruction mouse model) and two treatment doses (0.5 mg/day and 1 mg/day).
• Mechanistic insights are provided through functional enrichment analysis and immune deconvolution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single, controlled animal study, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Generated from a controlled laboratory study using a mouse model, LC-MS/MS proteomics, and validation assays.

Freshness

Last updated 2026-05-01 04:18:55; freshness should be verified.