空间转录组学在衰老研究中的应用与未来  

The application and future of spatial transcriptomics in aging research

作　　者：孙宇哲 郑惠文 聂超 Sun Yuzhe;Zheng Huiwen;Nie Chao(BGI Research,Shenzhen 518083,China;BGI Research,Beijing 102601,China;Shenzhen Key Laboratory of Neurogenomics,BGI Research,Shenzhen 518083,China;BGI Research,Hangzhou 310030,China)

机构地区：[1]深圳华大生命科学研究院,深圳518083 [2]北京华大生命科学研究院,北京102601 [3]深圳市神经基因组重点实验室深圳华大生命科学研究院,深圳518083 [4]杭州华大生命科学研究院,杭州310030

出　　处：《中国医学前沿杂志（电子版）》2024年第8期14-22,共9页Chinese Journal of the Frontiers of Medical Science(Electronic Version)

基　　金：国家重点研发计划(2023YFC3603300)。

摘　　要：空间转录组学技术通过在基因表达分析中添加空间位置信息,为生物学研究,尤其在探索细胞老化和器官功能衰退方面提供了新的视角。本文综述了空间转录组学在脑衰老、皮肤衰老以及其他器官系统中的应用,并探讨了这些技术在揭示衰老机制中的重要作用。研究中使用的新型算法和统计方法,提高了我们对空间数据中隐藏的生物学信息的解析能力。这些发现不仅深化了对衰老过程的理解,还为开发新的治疗策略提供了潜在的靶点。未来,空间转录组学有望在揭示衰老的分子机制、细胞微环境以及开发针对年龄相关疾病的治疗方法中发挥更加关键的作用。By adding spatial location information to gene expression analysis,spatial transcriptomics provides a new perspective for biological research,especially in exploring cellular aging and organ function decline.This review summarizes the application of spatial transcriptomics in brain aging,skin aging,and other organ systems,and discusses its important role in uncovering the mechanisms of aging.The novel algorithms and statistical methods used in these studies have improved our ability to parse biological information hidden within spatial data.These findings not only deepen our understanding of the aging process but also offer potential targets for the development of new therapeutic strategies.In the future,spatial transcriptomics is expected to play an even more crucial role in elucidating the molecular mechanisms of aging and in the development of treatments for age-related diseases.

关 键 词：空间转录组学 衰老机制 器官衰老 新算法 生物年龄 

分 类 号：R394[医药卫生—医学遗传学]