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Single-nucleus transcriptomic sequencing and cross integration comparison of multiple species revealed new cell composition and specific gene marker in hippocampal aging

GSE230451 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2024/04/30 Platform GPL24247
Summary
Brain aging is a major risk factor for many brain diseases, which seriously affects the quality of life and even life span, and poses an increasingly serious threat to human health. Research shows that anti-aging and an extra year of life expectancy could bring $38 trillion in economic gains. Therefore, it is urgent to study the mechanism of brain aging, find effective ways to improve aging and improve the quality of life of the aging population. In the early stage, we established the culture system of activated urine stem cells (aUSCs), which can significantly improve the nerve cell senescence in vitro and brain aging of natural aging mice and macaques, suggesting that aUSCs have strong anti-brain aging ability; The results of single-nucleus sequencing of mouse hippocampus suggested that anti-aging was achieved by changing the glial cell subset to constitutively inhibit inflammatory signaling to reduce inflammatory response. Based on this, this topic continues to conduct aUSCs intervention on naturally aging rhesus monkeys to study the anti-brain aging effect and potential mechanism of aUSCs in non-human primates; Meanwhile, the human cerebral organoid model was applied to further study the anti-brain aging effect and potential mechanism of aUSCs in the human brain. Therefore, this topic not only screens seed cells for state-supported stem cell transformation applications, but also provides solutions for the problems caused by world aging, which has great scientific significance and economic value. In order to explore the mechanism of aUSCs anti-brain aging, we used single-cell sequencing to analyze the effect of aUSCs on the hippocampus of aging mice.
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Direct links to NCBI, no account and no request form: the whole study as GSE230451_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA961151 and SRA study SRP434287. Searching any of these in the dataset finder brings you back here.

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