Unknown

Dataset Information

Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver.


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 la

SUBMITTER: Nikopoulou C 

PROVIDER: S-EPMC10645594 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature