Data Sheet 1_Integrative single-cell RNA-seq and ATAC-seq analysis reveals the key role of

Yuanqi Yang constructed an integrative transcriptome and chromatin accessibility atlas for pulmonary arterial hypertension (PAH) mice using single-cell RNA sequencing and single-cell ATAC sequencing. The dataset, last updated on 2026-04-15, is a 5.2 MB DOCX file shared under a CC-BY-4.0 license on figshare. It reveals increased granulocytes and monocytes/macrophages in PAH lung tissues and identifies S100a9 upregulation in key proinflammatory cell populations.

Use Cases

• Identify cell type-specific gene expression changes in PAH based on single-cell RNA-seq data mentioned in the description
• Analyze chromatin accessibility dynamics in inflammatory cells like CCR2+ macrophages based on single-cell ATAC-seq data
• Investigate the role of specific genes like S100a9 in disease progression using integrated multi-omics data
• Compare transcriptional profiles of proinflammatory versus M2-like macrophage subpopulations in PAH

Strengths

• Integrates two complementary single-cell omics modalities: RNA-seq and ATAC-seq
• Focuses on a specific disease model (pulmonary arterial hypertension in mice) with clear biological findings
• Dataset is openly shared under a permissive CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is provided in a DOCX format (5.2 MB), which may require conversion for computational analysis

Provenance

Source

Yuanqi Yang via figshare

Collection Method

Single-cell RNA sequencing and single-cell ATAC sequencing of lung tissues from PAH mice

Freshness

Last updated 2026-04-15 05:46:28; freshness should be verified