Mouse Lung Proteomics Data for Millettia Speciosa Asthma Treatment Study

Proteomic data from a mouse model of allergic asthma investigates the therapeutic effects of Niudali (Millettia speciosa). The dataset includes results from high-resolution data-independent acquisition (DIA) lung proteomics integrated with cytokine profiling, identifying 179 differentially expressed proteins. The data was published by Hangrui Yang on figshare in June 2026.

Use Cases

• Identify key protein biomarkers for allergic asthma based on the 179 differentially expressed proteins.
• Investigate the role of the CCL24-eosinophil axis in asthma pathogenesis based on its reported suppression.
• Analyze immunometabolic pathway modulation based on described changes in complement, coagulation, lipid transport, and PPAR signaling.
• Validate hub protein networks in lung inflammation based on identified proteins like Alb, Apoe, Apoa1, Proc, and Serpina7.

Strengths

• Includes results from high-resolution data-independent acquisition (DIA) proteomics, a detailed analytical method.
• Identifies 179 differentially expressed proteins, providing a quantitative basis for analysis.
• Integrates proteomic findings with cytokine profiling data from bronchoalveolar lavage fluid (BALF).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (394.6 KB), indicating limited scope, likely summary results rather than raw spectra.

Provenance

Source

figshare

Collection Method

High-resolution data-independent acquisition (DIA) lung proteomics integrated with cytokine profiling from an ovalbumin-induced mouse model.

Freshness

Last updated 2026-06-03 07:42:22; freshness should be verified.