Beyond phenotypic markers: rethinking dopaminergic identity in iPSC-derived neurons
Résumé fourni par la source
Human pluripotent stem cell-derived dopaminergic neurons have become central platforms for Parkinson’s disease (PD) modeling and regenerative medicine. Current differentiation systems can efficiently generate TH + /FOXA2 + /LMX1A + ventral midbrain-like populations. Although canonical markers remain important components of dopaminergic validation, the field increasingly complements them with single-cell profiling, developmental reference mapping, functional assessment, and transplantation-based evaluation. Nevertheless, marker-positive phenotypic resemblance alone may inadequately capture the full multidimensional identity of substantia nigra pars compacta neurons. Recent single-cell, developmental, and organoid studies indicate that human dopaminergic neurons exist across highly specialized multidimensional states shaped by developmental trajectory, epigenetic regulation, metabolic adaptation, biological aging, and ecosystem-level interactions. On the basis of these observations, we hypothesize that some current in vitro systems may generate neurons with incomplete or context-dependent identity because of accelerated differentiation, strong exogenous patterning, resetting of age-associated features, incomplete metabolic maturation, and the absence of supporting cells and tissue-derived signals. We distinguish these experimentally observed limitations from their conceptual interpretation and propose a testable framework for evaluating dopaminergic identity across developmental, molecular, metabolic, functional, aging-related, and environmental dimensions. This framework identifies improved maturation, representation of biological age, metabolic resilience, and multicellular context as priorities for PD modeling and regenerative neuroscience.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Beyond phenotypic markers: rethinking dopaminergic identity in iPSC-derived neurons
- Date Crossref
- 03/09/2026
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
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