PBMCpedia: a harmonized PBMC scRNA-seq database with unified mapping and enhanced celltype annotation

Single-cell transcriptomic studies of peripheral blood mononuclear cells (PBMCs) offer valuable insights into immune states across diverse biological conditions, yet cross-study integration remains difficult due to divergent preprocessing and annotations. PBMCpedia addresses this by uniformly reprocessing 519 samples (over 4.3 million cells) from 24 publicly available single-cell RNA sequencing studies using a standardized pipeline with consistent quality control and hierarchical cell type annotation. Spanning 14 disease contexts, including autoimmune, infectious, and neurodegenerative disorders, as well as healthy controls, PBMCpedia supports metadata-aware comparisons across diseases, cell types, sexes, and age groups. It also includes T-cell receptor/B-cell receptor repertoire data for 75 samples and surface protein measurements for 56 samples, enabling integrative immune profiling at both the transcriptomic and proteogenomic levels. To support exploration and accessibility, we provide an interactive web interface (https://web.ccb.uni-saarland.de/pbmcpedia/) for querying gene expression, marker genes, and pathway enrichment across cell types, conditions, sexes, and age groups. PBMCpedia fills a critical gap by offering a transparent, harmonized, and disease-diverse PBMC resource designed for cross-study immune profiling and discovery.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-11-24
DOI
https://doi.org/10.1093/nar/gkaf1245
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

PBMCpedia: a harmonized PBMC scRNA-seq database with unified mapping and enhanced celltype annotation

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Nucleic Acids Research
Single-cell and spatial transcriptomics
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PBMCpedia: a harmonized PBMC scRNA-seq database with unified mapping and enhanced celltype annotation

Andreas Keller, Erich Hoffmann, Pascal Hirsch, Matthias Flotho, Friederike Grandke, Ian Ferenc Diks, Lara Hombrecher
article en

Abstract

Single-cell transcriptomic studies of peripheral blood mononuclear cells (PBMCs) offer valuable insights into immune states across diverse biological conditions, yet cross-study integration remains difficult due to divergent preprocessing and annotations. PBMCpedia addresses this by uniformly reprocessing 519 samples (over 4.3 million cells) from 24 publicly available single-cell RNA sequencing studies using a standardized pipeline with consistent quality control and hierarchical cell type annotation. Spanning 14 disease contexts, including autoimmune, infectious, and neurodegenerative disorders, as well as healthy controls, PBMCpedia supports metadata-aware comparisons across diseases, cell types, sexes, and age groups. It also includes T-cell receptor/B-cell receptor repertoire data for 75 samples and surface protein measurements for 56 samples, enabling integrative immune profiling at both the transcriptomic and proteogenomic levels. To support exploration and accessibility, we provide an interactive web interface (https://web.ccb.uni-saarland.de/pbmcpedia/) for querying gene expression, marker genes, and pathway enrichment across cell types, conditions, sexes, and age groups. PBMCpedia fills a critical gap by offering a transparent, harmonized, and disease-diverse PBMC resource designed for cross-study immune profiling and discovery.

Nucleic Acids ResearchVol. 54(D1)
Helmholtz Institute for Pharmaceutical Research Saarland (DE), Saarland University (DE)
Michael J. Fox Foundation for Parkinson's Research, Deutsche Forschungsgemeinschaft, Universität des Saarlandes
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
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