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

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 si...

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Detalles Bibliográficos
Autores principales: Nikopoulou, Chrysa, Kleinenkuhnen, Niklas, Parekh, Swati, Sandoval, Tonantzi, Ziegenhain, Christoph, Schneider, Farina, Giavalisco, Patrick, Donahue, Kat-Folz, Vesting, Anna Juliane, Kirchner, Marcel, Bozukova, Mihaela, Vossen, Christian, Altmüller, Janine, Wunderlich, Thomas, Sandberg, Rickard, Kondylis, Vangelis, Tresch, Achim, Tessarz, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645594/
https://www.ncbi.nlm.nih.gov/pubmed/37946043
http://dx.doi.org/10.1038/s43587-023-00513-y
Descripción
Sumario: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.