摘要
细胞异质性是驱动多细胞系统实现功能分化、精度调控和环境适应的基础.群体水平测序将细胞信号平均处理,难以揭示个体差异,掩盖关键亚群与调控变化过程.单细胞组学技术可以在单细胞水平获取多种组学信息,使细胞状态的真实多样性得以被精确解析.目前单细胞技术已从转录组扩展至表观组、空间组及多组学整合.本文梳理了近年来建立的单细胞测序技术,并主要介绍不同技术取得的突破与创新.
Cellular heterogeneity is fundamental to functional specialization, precise regulation, and environmental adaptability in multicellular organisms. Traditional bulk sequencing often captures average signals from cell populations, making it difficult to identify individual differences and obscuring important subpopulations and dynamic regulatory events. In contrast, single-cell omics technologies offer high-resolution profiling of various molecular layers at the individual cell level, uncovering the complex nature of cellular states. These technologies have progressed from transcriptomics to encompass epigenomics, spatial omics, and integrated multi-omics methods. This review focuses on the latest advancements in single-cell sequencing technologies, highlighting significant breakthroughs and innovations in the field.
作者
孙中兴
李卓宁
唐寅
方东
SUN ZhongXing;LI ZhuoNing;TANG Yin;FANG Dong(Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology,Life Sciences Institute,Zhejiang University,Hangzhou 310058,China;Department of Medical Oncology,Key Laboratory of Cancer Prevention and Intervention,Ministry of Education,The Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310058,China)
出处
《中国科学:生命科学》
北大核心
2025年第6期1087-1107,共21页
Scientia Sinica(Vitae)
关键词
细胞异质性
单细胞组学
转录组
表观组
空间组学
cellular heterogeneity
single-cell omics
transcriptome
epigenome
spatial omics
