Pediatric Asthma Multi-Omics Data on HLA-DPA1/DPB1 and Macrophage Dysregulation

A transcriptomic dataset from figshare, authored by Yuchen Wen and last updated in June 2026. It contains results from a multi-omics analysis of pediatric asthma, integrating bulk RNA-seq, single-cell RNA-seq, and experimental validation. The data identifies HLA-DPA1 and HLA-DPB1 as key downregulated genes linked to macrophage immune-metabolic dysregulation.

Use Cases

• Validate diagnostic models for pediatric asthma based on HLA-DPA1/DPB1 expression levels.
• Analyze immune cell infiltration and heterogeneity, particularly in macrophage subpopulations.
• Investigate cell-cell communication networks, such as the MIF signaling axis, in airway tissue.
• Study the correlation between antigen presentation pathways and metabolic dysfunction in asthma.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis integrates multiple data sources, including bulk RNA-seq (GSE152004, GSE65204) and single-cell RNA-seq (GSE254127).
• Candidate genes were identified using a consensus of four machine learning algorithms (SVM-RFE, Boruta, LASSO, XGBoost).

Limitations

• The dataset is very small at 20.2 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Yuchen Wen.

Collection Method

Integrated analysis of public RNA-sequencing datasets (GSE152004, GSE65204, GSE254127) and in vitro experimental validation.

Freshness

Last updated 2026-06-03 04:54:41; freshness should be verified.