Evidence map›Paper›PMID 41949281›Full record

ArticleeLife2026

Identification and comparison of orthologous cell types from primate embryoid bodies shows limits of marker gene transferability.

Jessica Jocher, Philipp Janssen, Beate Vieth, Fiona C Edenhofer, Tamina Dietl, Anita Térmeg, Paulina Spurk, Johanna Geuder, Wolfgang Enard, Ines Hellmann

Abstract readComparative Study
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Jessica Jocher *Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Philipp Janssen *Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0002-3167-7503
Beate ViethAnthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Fiona C EdenhoferAnthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0001-6983-2938
Tamina DietlHelmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt: Munich, Munich, Germany.ORCID https://orcid.org/0009-0000-4126-2603
Anita TérmegAnthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0009-0005-8872-9086
Paulina SpurkAnthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0001-8682-370X
Johanna GeuderAnthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Wolfgang Enard *Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0002-4056-0550
Ines Hellmann *Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0003-0588-1313

Funding

Deutsche Forschungsgemeinschaft 407541155Deutsche Forschungsgemeinschaft 458247426Deutsche Forschungsgemeinschaft 458888224
6 · The paper itself

Abstract

The identification of cell types remains a major challenge. Even after a decade of single-cell RNA sequencing (scRNA-seq), reasonable cell type annotations almost always include manual non-automated steps. The identification of orthologous cell types across species complicates matters even more, but at the same time strengthens the confidence in the assignment. Here, we generate and analyze a dataset consisting of embryoid bodies (EBs) derived from induced pluripotent stem cells (iPSCs) of four primate species: humans, orangutans, cynomolgus, and rhesus macaques. This kind of data includes a continuum of developmental cell types, multiple batch effects (i.e. species and individuals) and uneven cell type compositions and hence poses many challenges. We developed a semi-automated computational pipeline combining classification and marker-based cluster annotation to identify orthologous cell types across primates. This approach enabled the investigation of cross-species conservation of gene expression. Consistent with previous studies, our data confirm that broadly expressed genes are more conserved than cell type-specific genes, raising the question of how conserved, inherently cell type-specific, marker genes are. Our analyses reveal that human marker genes are less effective in macaques and vice versa, highlighting the limited transferability of markers across species. Overall, our study advances the identification of orthologous cell types across species, provides a well-curated cell type reference for future in vitro studies and informs the transferability of marker genes across species.

Indexed as

Embryoid BodiesAnimalsGenetic MarkersHumansInduced Pluripotent Stem CellsMacaca fascicularisMacaca mulattaPongoPrimatesSingle-Cell Gene Expression AnalysisSpecies SpecificityGenetic Markerscomputational biologycross-species comparisoncynomolgus macaqueearly developmentembryoid bodiesevolutionary biologyhumanmarker genesorangutanprimatesrhesus macaquesingle-cell RNA-sequencingsystems biology

Identifiers

PMID41949281
PMCPMC13061419

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Registered trials

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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 OpenQuestion graph.