FB2026_02 , released June 18, 2026
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Citation
Casas, R.B., Risato, G., Zuppardo, A., Viscomi, C., Argenton, F., Doimo, M., Facchinello, N., Tiso, N. (2025). Model organisms in POLG-related disorders: insights from yeast to multicellular systems.  Cell Death Dis. 17(1): 137.
FlyBase ID
FBrf0264508
Publication Type
Review
Abstract
Mitochondrial genetic diseases are complex disorders that impair cellular energy production, leading to diverse clinical manifestations across multiple organ systems. These diseases arise from mutations in either mitochondrial DNA or nuclear DNA. Among nuclear DNA-related cases, mutations in POLG and POLG2, which encode subunits of mitochondrial DNA polymerase γ, are particularly significant, causing conditions such as Alpers-Huttenlocher syndrome and progressive external ophthalmoplegia. Model organisms have been instrumental in elucidating POLG-related disease mechanisms and advancing therapeutic strategies. Saccharomyces cerevisiae (budding yeast) provided insights into fundamental mitochondrial functions, while Caenorhabditis elegans (roundworm) helped explore POLG's roles in multicellular organisms. Drosophila melanogaster (fruit fly) has been pivotal in studying neurological aspects, and Mus musculus (mouse) models contributed to understanding systemic effects in mammals. Recently, Danio rerio (zebrafish) has emerged as a promising vertebrate model for drug screening, due to its optical transparency and genetic tractability. Each model system offers unique advantages, collectively bridging the gap between basic research and clinical applications. This review will examine in vivo models used in POLG disorder research, highlighting their contributions to understanding disease mechanisms and therapeutic advancements.
PubMed ID
PubMed Central ID
PMC12847702 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Cell Death Dis.
    Title
    Cell death & disease
    ISBN/ISSN
    2041-4889
    Data From Reference
    Genes (2)
    Human Disease Models (1)