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Transcriptomic Analysis of Small Extracellular Vesicles (sEVs) from Mouse Liver Tissue Across Age Groups: Implications for Aging and Lipid Metabolism

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE285729
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The present study investigates the transcriptomic profiles of small extracellular vesicles (sEVs) isolated from the liver tissues of mice at different ages to understand the role of sEVs in aging and lipid metabolism. We hypothesize that age-related changes in sEVs could reflect alterations in cellular communication and contribute to the development of age-associated diseases. Through a comprehensive analysis of miRNA expression, we aim to identify biomarkers and potential therapeutic targets for liver aging and metabolic disorders. The study involved the extraction and characterization of sEVs from the liver tissues of mice at various ages.The age distribution and corresponding numbers of mice included 10 mice at 1 week (1 W), 5 mice at 6 weeks (6 W), 5 mice at 6 months (6 M), 5 mice at 12 months (12 M), and 5 mice at 14 months (14 M). Transcriptome analysis was performed to identify differentially expressed miRNAs. miRNA-seq study involved obtaining sEVs from liver tissues from mice across different age groups: 1 week (1 W), 6 weeks (6 W), 6 months (6 M), 12 months (12 M), and 14 months (14 M). A total of 5 mice were used for each age group, resulting in 25 samples.
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2025-02-25
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