Table 3_Integrative single-cell RNA-seq and ATAC-seq analysis reveals the key role of infl

An integrative transcriptome and chromatin accessibility atlas for pulmonary arterial hypertension (PAH) in mice, constructed using single-cell RNA sequencing and single-cell ATAC sequencing. The dataset was uploaded by Yuanqi Yang to figshare and last updated on 2026-04-15. The 9.5 KB XLSX file likely contains results from analyses of inflammatory cell activation, including granulocytes, monocytes, macrophages, and S100a9 expression.

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 changes associated with inflammatory cell activation in PAH based on single-cell ATAC-seq data mentioned in the description
• Investigate the role of S100a9-expressing inflammatory cells in disease progression based on findings described in the results
• Compare transcriptomic and epigenomic profiles of proinflammatory macrophage subpopulations like CCR2+ macrophages described in the study

Strengths

• Integrates two complementary single-cell omics modalities (RNA-seq and ATAC-seq) as described in the methods
• Focuses on a specific disease model (PAH in mice) with findings on key inflammatory cell populations
• Dataset is shared under a permissive CC-BY-4.0 license, facilitating reuse

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download
• The dataset is very small (9.5 KB), suggesting it contains summary results rather than raw sequencing data
• Data is derived from a mouse model, and direct applicability to human PAH may require further validation

Provenance

Source

figshare, uploaded by Yuanqi Yang.

Collection Method

Single-cell RNA sequencing and single-cell ATAC sequencing of lung tissues from PAH mice, as described.

Freshness

Last updated 2026-04-15 05:46:29; freshness should be verified.