Evidence map›Paper›PMID 41277528›Full record

ArticleNucleic acids research2026

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

Emma S Hoffmann, Lara Hombrecher, Ian F Diks, Matthias Flotho, Pascal Hirsch, Andreas Keller, Friederike Grandke

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Emma S HoffmannClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0009-0008-5836-2035
Lara HombrecherClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0009-0004-2687-1389
Ian F DiksClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0009-0002-5063-1743
Matthias FlothoClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0009-0006-4374-0801
Pascal HirschClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0003-4152-9931
Andreas KellerClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-5361-0895
Friederike GrandkeClinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0001-6185-1472

Funding

DFG 469073465Michael J. Fox Foundation for Parkinson's Research MJFF-021418Saarland University
6 · The paper itself

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.

Indexed as

Databases, GeneticLeukocytes, MononuclearRNA-SeqRNA, Small CytoplasmicSingle-Cell AnalysisFemaleGene Expression ProfilingHumansMaleMolecular Sequence AnnotationSequence Analysis, RNASingle-Cell Gene Expression AnalysisSoftwareTranscriptomeRNA, Small Cytoplasmic

Identifiers

PMID41277528
PMCPMC12807695

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.