Marker Genes for Cell Types in Late-Stage Rheumatoid Arthritis

Supplementary Table 1 contains 17,382 entries of cell-type-specific marker genes identified by differential expression analysis of single-cell RNA sequencing data. The dataset includes gene symbols, cluster identities, and statistical metrics such as p-values, adjusted p-values, and average log2 fold change. It was generated to support an integrative multi-omics study of late-stage rheumatoid arthritis, highlighting CXCL10-driven inflammation and a TREM2+ macrophage-plasma cell survival niche.

Use Cases

• Validating cell type annotations in scRNA-seq clusters based on provided marker gene lists.
• Prioritizing candidate genes for functional studies of inflammation using fold change and p-value columns.
• Comparing gene expression specificity across cell types using the pct.1 and pct.2 percentage columns.
• Integrating marker gene data with other omics layers to model cell-cell interaction niches.

Strengths

• Dataset is explicitly licensed under CC-BY-4.0, permitting broad reuse with attribution.
• Contains a substantial number of marker gene entries (17,382 rows) for multiple cell types.
• Statistical annotations are detailed, including adjusted p-values and expression percentages.

Limitations

• The exact column names and full row count are not explicitly listed in the provided metadata.
• As supplementary material, the dataset lacks standalone documentation on processing parameters.
• Temporal and geographical context for the source biological samples is not provided.

Provenance

Source

Jianbin Li

Collection Method

Differential expression analysis of single-cell RNA sequencing data.

Freshness

Last updated on 2026-03-19.