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 (Niudali). The data includes results from high-resolution data-independent acquisition (DIA) lung proteomics and cytokine profiling, identifying 179 differentially expressed proteins. The dataset was published by Hangrui Yang on figshare under a CC-BY-4.0 license and was last updated on 2026-06-03.

Use Cases

• Identify key protein biomarkers for eosinophilic asthma based on the 179 differentially expressed proteins.
• Investigate the role of the CCL24 chemokine in asthma pathology based on its reported suppression.
• Analyze immunometabolic pathway modulation based on described changes in complement, coagulation, lipid transport, and PPAR signaling.
• Validate findings from network analysis based on hub proteins like Alb, Apoe, Apoa1, Proc, and Serpina7.
• Correlate proteomic changes with cytokine levels based on reported reductions in IgE, IL-4, IL-5, and IL-6.

Strengths

• Includes proteomic analysis identifying 179 differentially expressed proteins.
• Integrates cytokine profiling data showing reductions in key inflammatory markers.
• Dataset is openly available under a CC-BY-4.0 license.
• File size is 499.1 KB, making it quick to download and inspect.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data is derived from a specific ovalbumin-induced mouse model, which may not directly translate to human asthma.
• The proposed link to the gut-lung axis is noted as hypothetical and not directly investigated in the study.

Provenance

Source

figshare, author Hangrui Yang.

Collection Method

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

Freshness

Last updated 2026-06-03 07:42:27; freshness should be verified.