Murine Asthma Model Proteomics of Bronchoalveolar Lavage and Extracellular Vesicles

Zachary Hutchins published quantitative proteomic data from a murine house dust mite asthma model on figshare in April 2026. The dataset contains tandem mass tag (TMT)-based analyses of bronchoalveolar lavage fluid (BALF) and BALF-derived extracellular vesicles (EVs). It identifies proteins like CLCA1, FCGBP, CHIL3, CHIL4, RETNLA, EPX, and CKM, which are associated with Th2 immune response and asthma pathogenesis.

Use Cases

• Identify asthma-associated protein biomarkers based on the Th2-associated proteins CLCA1, FCGBP, CHIL3, CHIL4, and RETNLA.
• Investigate selective protein packaging in extracellular vesicles based on the exclusive detection of EPX and CKM in EV cargo.
• Model immune regulation in allergic airway inflammation based on proteomic profiles from a murine house dust mite challenge.

Strengths

• Proteomic data is derived from a controlled murine model of allergic asthma, providing a focused biological context.
• Uses tandem mass tag (TMT)-based quantitative proteomics, a method for precise protein measurement.
• File size is 123.8 KB, indicating a compact and likely focused dataset.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a murine model, which may limit direct translation to human asthma biology.

Provenance

Source

figshare

Collection Method

Tandem mass tag (TMT)-based quantitative proteomic analysis of bronchoalveolar lavage fluid and derived extracellular vesicles.

Time Range

Data collection date is not specified; dataset was last updated in April 2026.

Freshness

Last updated 2026-04-10 05:43:55; freshness should be verified.

Geography

Spatial coverage is not specified; the study uses a murine (mouse) model.