Evidence map›Paper›PMID 41034331›Full record

ArticleCommunications biology2025

Deciphering brain organoid heterogeneity by identifying key quality determinants.

Tom Boerstler, Daniil Kachkin, Elizaveta Gerasimova, Naime Zagha, Federica Furlanetto, Negar Nayebzade, Luke Zappia, Michelle Boisvert, Michaela Farrell, Sonja Ploetz and 10 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

20 authors.

Tom Boerstler *Department of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Daniil Kachkin *Department of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Elizaveta GerasimovaDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Naime ZaghaDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Federica FurlanettoInstitute of Biochemistry, FAU Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0003-0963-3560
Negar NayebzadeInstitute of Biochemistry, FAU Erlangen-Nürnberg, Erlangen, Germany.
Luke ZappiaInstitute of Computational Biology, Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-7744-8565
Michelle BoisvertInstitute of Computational Biology, Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.
Michaela FarrellDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Sonja PloetzDepartment of Molecular Neurology, FAU Erlangen-Nürnberg, Erlangen, Germany.
Iryna ProtsDental Clinic 1-Department of Operative Dentistry and Periodontology, University Hospital Erlangen, FAU Erlangen-Nürnberg, Erlangen, Germany.
Martin RegensburgerDepartment of Molecular Neurology, FAU Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-2172-7386
Claudia GüntherDepartment of Medicine 1, University Hospital Erlangen, University Hospital Erlangen, FAU Erlangen-Nürnberg, Erlangen, Germany.
Juergen WinklerDepartment of Molecular Neurology, FAU Erlangen-Nürnberg, Erlangen, Germany.
Pooja GuptaDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0009-0009-3328-5157
Fabian TheisInstitute of Computational Biology, Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.
Marisa KarowInstitute of Biochemistry, FAU Erlangen-Nürnberg, Erlangen, Germany.
Sven FalkInstitute of Biochemistry, FAU Erlangen-Nürnberg, Erlangen, Germany.
Beate WinnerDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany. beate.winner@fau.de.ORCID http://orcid.org/0000-0002-6909-0564
Florian KrachDepartment of Stem Cell Biology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany. flo.krach@fau.de.ORCID http://orcid.org/0000-0002-4506-8792

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01GM1905BBundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01GM2209BDeutsche Forschungsgemeinschaft (German Research Foundation) GRK2162/ 270949263Deutsche Forschungsgemeinschaft (German Research Foundation) WI 3567/2-1Else Kröner-Fresenius-Stiftung (Else Kroner-Fresenius Foundation) 2024_EKEA.50Friedrich Alexander University of Erlangen Nuremberg | Medizinische Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg (Faculty of Medicine, Friedrich Alexander University of Erlangen Nuremberg) J-122Friedrich Alexander University of Erlangen Nuremberg | Medizinische Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg (Faculty of Medicine, Friedrich Alexander University of Erlangen Nuremberg) P153
6 · The paper itself

Abstract

Brain organoids derived from human pluripotent stem cells (hPSCs) hold immense potential for modeling neurodevelopmental processes and disorders. However, their experimental variability and undefined organoid selection criteria for analysis hinder reproducibility. As part of the Bavarian ForInter consortium, we generated 72 brain organoids from distinct hPSC lines. We conducted a comprehensive analysis of their morphological and cellular characteristics at an early stage of their development. In our assessment, the Feret diameter emerged as a reliable, single parameter that characterizes brain organoid quality. Transcriptomic analysis of our organoid identified the abundance of unintended mesodermal differentiation as a major confounder of unguided brain organoid differentiation, correlating with Feret diameter. High-quality organoids consistently displayed a lower presence of mesenchymal cells. These findings provide a framework for enhancing brain organoid standardization and reproducibility, underscoring the need for morphological quality controls and considering the influence of mesenchymal cells on organoid-based modeling.

Indexed as

BrainOrganoidsCell DifferentiationCell LineHumansModels, BiologicalNeurodevelopmentPluripotent Stem CellsReproducibility of Results

Identifiers

PMID41034331
PMCPMC12488937

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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.