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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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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
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author 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
author_facet 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
author_sort Nikopoulou, Chrysa
collection PubMed
description 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.
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spelling pubmed-106455942023-11-09 Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver 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 Nat Aging Resource 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. Nature Publishing Group US 2023-11-09 2023 /pmc/articles/PMC10645594/ /pubmed/37946043 http://dx.doi.org/10.1038/s43587-023-00513-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Resource
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
Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title_full Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title_fullStr Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title_full_unstemmed Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title_short Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
title_sort spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
topic Resource
url 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
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