Mouse Pulmonary Arterial Hypertension Single-Cell RNA-seq and ATAC-seq Atlas

An integrative transcriptome and chromatin accessibility atlas for pulmonary arterial hypertension (PAH) in mice, created by Yuanqi Yang and last updated in April 2026. The dataset was generated using single-cell RNA sequencing and single-cell ATAC sequencing on lung tissues from PAH mouse models. It focuses on inflammatory cell activation, specifically granulocytes and monocytes/macrophages, and their role in disease progression.

Use Cases

• Identify cell-type-specific gene expression changes based on single-cell RNA-seq data mentioned in the description
• Analyze chromatin accessibility dynamics in proinflammatory macrophages based on single-cell ATAC-seq data mentioned in the description
• Investigate the role of the S100a9 gene and hypoxia-inducing factor pathway in disease development based on findings described
• Compare transcriptomic profiles of CCR2+ proinflammatory macrophages versus M2-like macrophages based on subcluster analysis described

Strengths

• Integrates two complementary single-cell omics modalities: RNA-seq and ATAC-seq
• Focuses on a specific disease model (mouse pulmonary arterial hypertension) with a clear biological question
• File size is 11.3 MB, indicating a processed, analysis-ready dataset

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is derived from a mouse model; direct applicability to human disease requires validation

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing and single-cell ATAC sequencing performed on lung tissues from PAH mouse models.

Freshness

Last updated 2026-04-15 05:46:26