Mouse Lung Proteomics and Cytokine Data for Millettia Speciosa Asthma Treatment Study

A proteomic dataset from a mouse model of allergic asthma, investigating the therapeutic effects of the herb Millettia speciosa. The dataset includes results from high-resolution data-independent acquisition (DIA) lung proteomics and cytokine profiling, identifying 179 differentially expressed proteins. It was authored by Hangrui Yang and last updated on June 3, 2026.

Use Cases

• Identify potential drug targets for asthma based on the 179 differentially expressed proteins.
• Study the role of the CCL24 chemokine in eosinophilic inflammation using the cytokine profiling data.
• Analyze immunometabolic pathway modulation, such as PPAR signaling and lipid transport, mentioned in the functional enrichment results.
• Investigate the gut-lung axis hypothesis using the molecular signature of hub proteins like Alb, Apoe, and Apoa1.

Strengths

• Includes proteomic analysis identifying 179 differentially expressed proteins, providing a quantitative molecular profile.
• Integrates cytokine profiling data showing significant reductions in IgE, IL-4, IL-5, and IL-6, validating proteomic findings.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

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 (526.0 KB), indicating limited scope, likely containing summary results rather than raw spectral data.

Provenance

Source

figshare, authored by Hangrui Yang.

Collection Method

Generated from an ovalbumin-induced mouse model of allergic asthma using high-resolution data-independent acquisition (DIA) lung proteomics integrated with cytokine profiling.

Freshness

Last updated 2026-06-03 07:42:23; freshness should be verified.