表观基因组
转录组
代谢组
生物
脂类学
表型
表观遗传学
细胞生物学
电池类型
代谢组学
细胞
计算生物学
遗传学
生物信息学
DNA甲基化
基因
基因表达
作者
Chrysa Nikopoulou,Niklas Kleinenkuhnen,Swati Parekh,Tonantzi Sandoval,Christoph Ziegenhain,Farina Schneider,Patrick Giavalisco,Katelyn Donahue,Anna Juliane Vesting,Marcel Kirchner,Mihaela Bozukova,Christian Vossen,Janine Altmüller,Frank Wunderlich,Rickard Sandberg,Vangelis Kondylis,Achim Tresch,Peter Tessarz
出处
期刊:Nature Aging
日期:2023-11-09
卷期号:3 (11): 1430-1445
被引量:4
标识
DOI:10.1038/s43587-023-00513-y
摘要
Abstract Tissues within an organism and even cell types within a tissue can age with different velocities. However, it is unclear whether cells of one type experience different aging trajectories within a tissue depending on their spatial location. Here, we used spatial transcriptomics in combination with single-cell ATAC-seq and RNA-seq, lipidomics and functional assays to address how cells in the male murine liver are affected by age-related changes in the microenvironment. Integration of the datasets revealed zonation-specific and age-related changes in metabolic states, the epigenome and transcriptome. The epigenome changed in a zonation-dependent manner and functionally, periportal hepatocytes were characterized by decreased mitochondrial fitness, whereas pericentral hepatocytes accumulated large lipid droplets. Together, we provide evidence that changing microenvironments within a tissue exert strong influences on their resident cells that can shape epigenetic, metabolic and phenotypic outputs.
科研通智能强力驱动
Strongly Powered by AbleSci AI