POLR3 gene and protein expression dynamics in 4H leukodystrophy using iPSC-derived neuronal lineages

Induced pluripotent stem cell (iPSC) technology offered new tools for studying disease mechanisms by modeling patient-specific genetics in disease-relevant cell types. Here, we focus on 4H leukodystrophy, a genetic brain white matter disorder linked to POLR3 variants with distinct clinical characteristics, which manifests with considerable clinical variability. Although 4H leukodystrophy primarily features white matter abnormalities, emerging research highlights the involvement of neuronal pathology. To address this, we analyzed mRNA and protein expression of the POLR3A and POLR3B genes throughout neuronal lineage differentiation, from the iPSC state to neuroepithelial stem cells (NES) and mature neurons. When compared across cell types, we identified elevated POLR3 gene expression in NES. However, when compared by disease status, Pol III protein levels were notably reduced in 4H patient cells. Despite these protein-level alterations, overall Pol III transcript levels, including tRNAs and BC200 RNA were unchanged in 4H cells. Notably, patient-specific genetic backgrounds were found to have a significant impact on POLR3A expression. These results underscore the necessity of considering individual genetic backgrounds and specific developmental cell states when investigating the pathology of 4H leukodystrophy. Furthermore, our work demonstrates the utility of iPSC-based models in unraveling patient-specific disease mechanisms, thereby facilitating the development of more tailored therapeutic strategies.

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Journal
Stem Cell Research
Published
2025-08-18
DOI
https://doi.org/10.1016/j.scr.2025.103805
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
0.00

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article

POLR3 gene and protein expression dynamics in 4H leukodystrophy using iPSC-derived neuronal lineages

Liza M L Kok, Nicole I. Wolf, Vivi M. Heine, Heiletjé van Zyl et al.
Stem Cell Research
RNA regulation and disease
article

POLR3 gene and protein expression dynamics in 4H leukodystrophy using iPSC-derived neuronal lineages

Liza M L Kok, Nicole I. Wolf, Vivi M. Heine, Heiletjé van Zyl, Nicole Breeuwsma, Felice Götte, Evanne Lichtendahl
article en

Abstract

Induced pluripotent stem cell (iPSC) technology offered new tools for studying disease mechanisms by modeling patient-specific genetics in disease-relevant cell types. Here, we focus on 4H leukodystrophy, a genetic brain white matter disorder linked to POLR3 variants with distinct clinical characteristics, which manifests with considerable clinical variability. Although 4H leukodystrophy primarily features white matter abnormalities, emerging research highlights the involvement of neuronal pathology. To address this, we analyzed mRNA and protein expression of the POLR3A and POLR3B genes throughout neuronal lineage differentiation, from the iPSC state to neuroepithelial stem cells (NES) and mature neurons. When compared across cell types, we identified elevated POLR3 gene expression in NES. However, when compared by disease status, Pol III protein levels were notably reduced in 4H patient cells. Despite these protein-level alterations, overall Pol III transcript levels, including tRNAs and BC200 RNA were unchanged in 4H cells. Notably, patient-specific genetic backgrounds were found to have a significant impact on POLR3A expression. These results underscore the necessity of considering individual genetic backgrounds and specific developmental cell states when investigating the pathology of 4H leukodystrophy. Furthermore, our work demonstrates the utility of iPSC-based models in unraveling patient-specific disease mechanisms, thereby facilitating the development of more tailored therapeutic strategies.

Stem Cell ResearchVol. 88
Emma Kinderziekenhuis (NL), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), Cognitive Research (United States) (US), Vrije Universiteit Amsterdam (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Zero hunger
Openalex Percentile: Top 81%
RNA regulation and disease
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