HLA-DPA1/DPB1 Gene Expression in Pediatric Asthma Airway Samples

A transcriptomic dataset from a study analyzing bulk and single-cell RNA-sequencing data from pediatric asthma patients. The dataset, published by Yuchen Wen under a CC-BY-4.0 license, focuses on identifying HLA-DPA1 and HLA-DPB1 as candidate key genes linked to macrophage immune-metabolic dysregulation. It was last updated on June 3, 2026.

Use Cases

• Validate diagnostic models for pediatric asthma based on HLA-DPA1/DPB1 expression levels mentioned in the description.
• Analyze immune cell infiltration patterns in asthma using the immune infiltration analysis referenced.
• Study macrophage subpopulation heterogeneity and pseudotime trajectories from the single-cell RNA-seq analysis described.
• Investigate cell-cell communication networks, such as the MIF signaling axis, between epithelial cells and immune cells.
• Perform functional enrichment analysis on genes correlated with attenuated antigen presentation and metabolic dysfunction.

Strengths

• Dataset is derived from multiple public RNA-sequencing datasets (GSE152004, GSE65204, GSE254127) for validation.
• Analysis employed four distinct machine learning algorithms (SVM-RFE, Boruta, LASSO, XGBoost) for feature selection.
• Includes experimental validation using IL-13-treated bronchial epithelial cells and patient peripheral blood mononuclear cell samples.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 2.7 KB, indicating it likely contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated analysis of bulk and single-cell RNA-sequencing data from public repositories, followed by machine learning screening and experimental validation.

Freshness

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