Extracellular Vesicle Proteomics Data for Kidney Fibrosis Pathophysiology

A research document from 2026 by Yaerim Kim, shared on figshare under a CC-BY-4.0 license. It describes proteomic analysis of extracellular vesicles from human proximal tubular epithelial cells and a mouse model of kidney fibrosis, focusing on the role of transglutaminase 2 inhibition. The associated data file is 18.2 MB in size.

Use Cases

• Identify protein expression patterns altered by TGF-β treatment and TG2 inhibition based on the LC-MS/MS analysis described.
• Analyze biological pathways and protein-protein interactions related to fibrosis and inflammation using the bioinformatics tools mentioned.
• Validate potential therapeutic targets for chronic kidney disease based on the reversible fibrosis-related factors identified in the study.

Strengths

• Includes in vitro (human cell) and in vivo (mouse model) validation data as described in the methodology.
• File size is 18.2 MB, indicating the document likely contains detailed supplementary data or analysis.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for quantitative analysis.
• The primary data format is a DOCX document, which may require extraction or conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Proteomic analysis via LC-MS/MS of extracellular vesicles isolated from human proximal tubular epithelial cells and a unilateral ureteral obstruction mouse model.

Freshness

Last updated 2026-05-29 04:49:08; freshness should be verified.