Table 1_Integrative single-cell RNA-seq and ATAC-seq analysis reveals the key role of infl

6.1 MB of tabular data from a study constructing an integrative transcriptome and chromatin accessibility atlas for pulmonary arterial hypertension (PAH) in mice. The dataset was created by Yuanqi Yang and last updated on April 15, 2026. It likely contains results from single-cell RNA sequencing and single-cell ATAC sequencing analyses.

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 specific genes like S100a9 in PAH pathogenesis based on the knockout mouse results described
• Compare transcriptomic and epigenomic profiles of granulocytes and macrophages in a disease model

Strengths

• Data integrates two single-cell omics modalities (RNA-seq and ATAC-seq) for a multi-layered analysis.
• The study includes validation through a knockout mouse model (S100a9 deletion), suggesting experimental follow-up.
• Dataset is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The data is specific to a mouse model of PAH; direct applicability to human disease may be limited.

Provenance

Source

figshare, uploaded by author Yuanqi Yang.

Collection Method

Data likely generated via single-cell RNA sequencing and single-cell ATAC sequencing on lung tissues from PAH and control mice.

Freshness

Last updated 2026-04-15 05:46:25; freshness should be verified.