bioRxivCell BiologyPreprint
Single-cell resolution unravels spatial alterations in metabolism, transcriptome and epigenome of ageing liver
C. Nikopoulou, N. Kleinenkuhnen, S. Parekh, T. Sandoval, F. Schneider, P. Giavalisco, M. Bozukova, A. J. Vesting, J. Altmueller, T. Wunderlich, V. Kondylis, A. Tresch, P. Tessarz
Abstract
Epigenetic ageing clocks have revealed that tissues within an organism can age with different velocity. However, it has not been explored whether cells of one type experience different ageing trajectories within a tissue depending on their location. Here, we employed lipidomics, spatial transcriptomics and single-cell ATAC-seq in conjunction with available single-cell RNA-seq data to address how cells in the murine liver are affected by age-related changes of the microenvironment. Integration of the datasets revealed zonation-specific and age-related changes in metabolic states, the epigenome and transcriptome. Particularly periportal hepatocytes were characterized by decreased mitochondrial function and strong alterations in the epigenetic landscape, while pericentral hepatocytes - despite accumulation of large lipid droplets - did not show apparent functional differences. In general, chromatin alterations did not correlate well with transcriptional changes, hinting at post-transcriptional processes that shape gene expression during ageing. 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.
- organism: mouse
- assay: spatial transcriptomics
- assay: ATAC-seq
- assay: bulk RNA-seq
- assay: metabolomics
- research focus: chromatin & epigenetic regulation
- research focus: metabolism & bioenergetics
- research focus: cell type annotation
- approach: statistical model
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