Pediatric Blood Cell Single-Cell RNA Sequencing Reference Atlas

Natalie Vance's dataset integrates single-cell RNA sequencing data of peripheral blood mononuclear cells (PBMCs) from eight different studies. It provides a normalized and annotated reference atlas for healthy children from birth through age 16 years, including a dedicated CD4+ T cell subset. The data was uploaded in April 2026 and is formatted as a processed Seurat object.

Use Cases

• Classify PBMC cell types into 12 annotated clusters using normalized gene expression features.
• Identify differentially expressed genes (DEGs) for specific cell cluster annotations.
• Analyze CD4+ T cell subtypes across seven annotated clusters within the integrated subset.
• Benchmark data integration algorithms on multi-study pediatric single-cell data harmonized with Harmony and RPCA.
• Study gene expression trajectories associated with age from birth to 16 years in immune cell populations.

Strengths

• Data integrated from eight distinct studies, increasing biological breadth.
• Provides two structured atlases: a main PBMC reference with 12 clusters and a CD4+ T cell subset with 7 clusters.
• Data is pre-processed (normalized, scaled, integrated), reducing initial computational load.

Limitations

• Sample size and exact cell count are unknown, limiting assessment of statistical power.
• Limited to healthy pediatric donors, which may not represent disease states or adult populations.
• Geographic and ethnic diversity of the source studies is unspecified, potentially introducing bias.

Provenance

Source

Natalie Vance, likely associated with the Thakar Lab.

Collection Method

Integration of single-cell RNA sequencing data from eight published studies, processed with Seurat, Harmony, and RPCA.

Time Range

Covers pediatric development from birth through 16 years of age.

Freshness

Last updated in April 2026, indicating recent data availability.

Geography

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