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Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
Published on: January 26, 2024
Yuanfang Huang1, Shouxuan Zhu1, Shuai Yao1
1Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
This review explores how transcriptomic technologies advance the study of aging and longevity. It highlights key findings on messenger RNA (mRNA), long noncoding RNA (lncRNA), transfer RNA (tRNA), and microRNA (miRNA) in aging research.
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