Evidence map›Paper›PMID 42032747›Full record

ArticleJournal of translational medicine2026

Automated and scalable expansion of human liver organoids for translational applications.

Marjolein J M Ten Dam, Juda-El S Jno Baptiste-Sam, Rachelle S Schwanen, Lisa van Uden, Monique M A Verstegen, Luc J W van der Laan, Sabine A Fuchs, Ruud Das, Bart Spee

Abstract read
In one paragraph

Article in Journal of translational medicine, 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. Review
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

9 authors.

Marjolein J M Ten Dam *Department Biomedical Engineering, Eindhoven Technical University, Eindhoven, The Netherlands. m.j.m.t.dam@tue.nl.
Juda-El S Jno Baptiste-Sam *Scinus Cell Expansion Netherlands B.V., Zeist, The Netherlands. juda-el.sam@scinus.com.ORCID 0009-0005-0810-8512
Rachelle S SchwanenDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Lisa van UdenDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Monique M A VerstegenDepartment of Surgery, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands.
Luc J W van der LaanDepartment of Surgery, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands.
Sabine A FuchsDepartment of Metabolic Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Ruud DasScinus Cell Expansion Netherlands B.V., Zeist, The Netherlands.
Bart SpeeDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.

Funding

European Union's Horizon 2020 research and innovation program 874586European Union's Horizon Europe research and innovation programme 101191649Health~Holland EMCLSH24052Health~Holland LSHM23028
6 · The paper itself

Abstract

backgroundHuman tissue-derived organoids hold strong potential for personalized medicine and cell therapy, but this requires large cell quantities. Conventional organoid culture systems remain labor-intensive, are difficult to scale, and lack process control. Here, we present a novel strategy using an automated bioreactor platform that enables large-scale expansion of human liver organoids.

methodsHuman liver organoids were expanded for 14 days in a single bioreactor suspension culture bag and compared with spinner flasks and static dome cultures. Cell yield, viability, fold expansion, morphology, and phenotypic markers (LGR5, E-cadherin, Vimentin, Ki67) were assessed. The system’s uninterrupted workflow enabled seamless transition to differentiation: using integrated perfusion, we performed a direct medium switch from expansion to hepatic differentiation without harvesting or disrupting the culture. Commitment to the hepatic lineage was evaluated by expression of ALB, CYP3A4, MRP2, and HNF4A.

resultsBy day 14, the bioreactor generated an average of 5.63 × 108 (± 1.1 × 108) viable cells, while spinner flasks reached 1.22 × 108 (± 4.26 × 107) cells, while static cultures yielded only 4.02 × 105 (± 2.81 × 105), making the bioreactor’s output ~ 1400 times greater than static cultures (p = 0.022) and nearly five times higher than spinner flasks. This substantial gain in absolute cell yield is a promising indicator for downstream translation. Organoids preserved phenotypic integrity and proliferative capacity as shown by sustained expression of LGR5, E-cadherin, and Ki67. Bioreactor-cultured organoids exhibited robust growth and intact cyst-like morphology with a large size, due to the absence of mechanical fragmentation and related cellular stress. As a proof-of-principle, bioreactor-grown organoids differentiated efficiently toward the hepatic lineage, as evidenced by a downregulated gene expression of LGR5 and Ki67, with elevated gene expression of ALB, CYP3A4, MRP2, and HNF4A, along with an upregulated secretion of Albumin.

conclusionThe system establishes a closed, monitored, and scalable upstream workflow for liver organoid expansion. This work represents a significant step toward organoid production for future cell therapy and regenerative medicine applications, while maintaining phenotypic stability and differentiation capacity.

Indexed as

Cell Culture TechniquesLiverOrganoidsTranslational Research, BiomedicalAutomationBiomarkersBioreactorsCell DifferentiationCell ProliferationCell SurvivalHumansBiomarkersAutomated bioreactorCell therapyDisease modelingHepatic differentiationLarge-scale expansionLiver organoidsPhenotypic stabilityRegenerative medicineSuspension cultureTranslation applications

Identifiers

PMID42032747
PMCPMC13255226

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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.