Evidence map›Paper›PMID 42310192›Full record

ArticleMolecular psychiatry2026

Engineering functional ventral midbrain dopaminergic neurons in human organoids through WNT modulation and bioreactor culture.

Hariam Raji, Federico Bertoli, Maria Jose Perez, Alicia Lam, Laura Volpicelli-Daley, Michela Deleidi

Abstract read
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

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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

6 authors.

Hariam RajiInstitut Imagine Paris - Inserm U1163, 24 boulevard du Montparnasse, 75015, Paris, France.
Federico BertoliInstitut Imagine Paris - Inserm U1163, 24 boulevard du Montparnasse, 75015, Paris, France.
Maria Jose PerezInstitut Imagine Paris - Inserm U1163, 24 boulevard du Montparnasse, 75015, Paris, France.ORCID http://orcid.org/0000-0001-8842-4286
Alicia LamInstitut Imagine Paris - Inserm U1163, 24 boulevard du Montparnasse, 75015, Paris, France.
Laura Volpicelli-DaleyAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.
Michela DeleidiInstitut Imagine Paris - Inserm U1163, 24 boulevard du Montparnasse, 75015, Paris, France. michela.deleidi@institutimagine.org.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) #101003329EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101003329Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation) ASAP-000420
6 · The paper itself

Abstract

Human midbrain organoids (hMOs) derived from induced pluripotent stem cells provide a powerful system to model disorders involving dopamine (DA) dysfunction, including Parkinson's disease (PD) and neuropsychiatric conditions. However, current differentiation protocols still fall short in recapitulating early specification, substantia nigra pars compacta (SNpc)-like identity, and the functional maturation of vulnerable DA neurons. Here, we established a differentiation strategy that combines tri-phasic WNT modulation with dynamic bioreactor culture to generate hMOs enriched in SNpc-like DA neurons. This approach significantly increases the yield of TH⁺/GIRK2⁺ and TH⁺/ALDH1A1⁺ DA neurons and promotes enhanced synaptic maturation, robust electrophysiological activity, and elevated DA release. Single-cell transcriptomics revealed that this strategy drives the emergence of SOX6

Indexed as

Dopaminergic NeuronsOrganoidsalpha-SynucleinBioreactorsCell Culture TechniquesCell DifferentiationDopamineHumansInduced Pluripotent Stem CellsMesencephalonParkinson DiseaseSubstantia NigraWnt ProteinsWnt Signaling Pathwayalpha-SynucleinDopamineWnt Proteins

Identifiers

PMID42310192
PMCPMC13569470

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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.