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the effect of UMI-77 on HGPS-MSCs gene expression during cellular senescence

GSE243251 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/08/26 Platform GPL24676
Summary
Hutchinson-Gilford progeria syndrome (HGPS) is a rare and fatal disease manifested by premature aging and aging-related phenotypes, making it a disease model for physiological aging. The cellular machinery mediating age-associated hallmarks in HGPS remains largely unknown, resulting in limited therapeutic targets for HGPS treatment. In this study, we showed that deficiencies in mitophagy impaired mitochondrial quality and contributed to cellular phenotypes associated with aging in mesenchymal stem cells derived from HGPS patients (HGPS-MSCs). Mechanistically, we discovered that mitophagy affected the aging-related phenotypes of HGPS-MSCs by inhibiting the cGAS-STING-NF-ĸB pathway and the downstream transcription of senescence-associated secretory phenotype (SASP). Furthermore, by utilizing UMI-77, an effective inducer of mitophagy, we showed that mitophagy induction can alleviate aging-associated phenotypes in both HGPS mice and naturally aged mice. In summary, our results uncover that mitophagy defects mediate mitochondrial dysfunction and aging-associated phenotypes in HGPS models, highlight the function of mitochondrial homeostasis in HGPS progression, and suggest that mitophagy could be exploited as a promising therapeutic target for both HGPS and aging.
Published in
Mitophagy defect mediates the aging-associated hallmarks in Hutchinson-Gilford progeria syndrome
Sun Y, Xu L, Li Y et al. · Aging cell 2024 · PMID 38482753 · doi:10.1111/acel.14143
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Direct links to NCBI, no account and no request form: the whole study as GSE243251_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1017480 and SRA study SRP460666. Searching any of these in the dataset finder brings you back here.

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