Deciphering brain organoids heterogeneity by identifying key quality determinants

organoids
brain
rna-seq
analysis
Authors

Tom Boerstler

Daniil Kachkin

Elizaveta Gerasimova

Naime Zagha

Federica Furlanetto

Negar Nayebzade

Luke Zappia

Michelle Boisvert

Michaela Farrell

Sonja Ploetz

Iryna Prots

Martin Regensburger

Claudia Günther

Juergen Winkler

Pooja Gupta

Fabian Theis

Marisa Karow

Sven Falk

Beate Winner

Florian Krach

Date

October 1, 2025

Links
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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.

Citation

BibTeX citation:
@article{boerstler2025,
  author = {Boerstler, Tom and Kachkin, Daniil and Gerasimova, Elizaveta
    and Zagha, Naime and Furlanetto, Federica and Nayebzade, Negar and
    Zappia, Luke and Boisvert, Michelle and Farrell, Michaela and
    Ploetz, Sonja and Prots, Iryna and Regensburger, Martin and Günther,
    Claudia and Winkler, Juergen and Gupta, Pooja and Theis, Fabian and
    Karow, Marisa and Falk, Sven and Winner, Beate and Krach, Florian},
  title = {Deciphering Brain Organoids Heterogeneity by Identifying Key
    Quality Determinants},
  journal = {Communications biology},
  volume = {8},
  number = {1},
  pages = {1412},
  date = {2025-10-01},
  url = {https://doi.org/10.1038/s42003-025-08855-6},
  doi = {10.1038/s42003-025-08855-6},
  issn = {2399-3642},
  langid = {en},
  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.}
}
For attribution, please cite this work as:
Boerstler, T., Kachkin, D., Gerasimova, E., Zagha, N., Furlanetto, F., Nayebzade, N., Zappia, L., Boisvert, M., Farrell, M., Ploetz, S., Prots, I., Regensburger, M., Günther, C., Winkler, J., Gupta, P., Theis, F., Karow, M., Falk, S., Winner, B. & Krach, F. Deciphering brain organoids heterogeneity by identifying key quality determinants. Communications biology 8, 1412 (2025).