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Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution
Non-alcoholic fatty liver disease is a heterogeneous disease with unclear underlying molecular mechanisms. Here, we perform single-cell RNA sequencing of hepatocytes and hepatic non-parenchymal cells to map the lipid signatures in mice with non-alcoholic fatty liver disease (NAFLD). We uncover previ...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830221/ https://www.ncbi.nlm.nih.gov/pubmed/36636354 http://dx.doi.org/10.1016/j.isci.2022.105802 |
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author | Coassolo, Laetitia Liu, Tianyun Jung, Yunshin Taylor, Nikki P. Zhao, Meng Charville, Gregory W. Nissen, Silas Boye Yki-Jarvinen, Hannele Altman, Russ B. Svensson, Katrin J. |
author_facet | Coassolo, Laetitia Liu, Tianyun Jung, Yunshin Taylor, Nikki P. Zhao, Meng Charville, Gregory W. Nissen, Silas Boye Yki-Jarvinen, Hannele Altman, Russ B. Svensson, Katrin J. |
author_sort | Coassolo, Laetitia |
collection | PubMed |
description | Non-alcoholic fatty liver disease is a heterogeneous disease with unclear underlying molecular mechanisms. Here, we perform single-cell RNA sequencing of hepatocytes and hepatic non-parenchymal cells to map the lipid signatures in mice with non-alcoholic fatty liver disease (NAFLD). We uncover previously unidentified clusters of hepatocytes characterized by either high or low srebp1 expression. Surprisingly, the canonical lipid synthesis driver Srebp1 is not predictive of hepatic lipid accumulation, suggestive of other drivers of lipid metabolism. By combining transcriptional data at single-cell resolution with computational network analyses, we find that NAFLD is associated with high constitutive androstane receptor (CAR) expression. Mechanistically, CAR interacts with four functional modules: cholesterol homeostasis, bile acid metabolism, fatty acid metabolism, and estrogen response. Nuclear expression of CAR positively correlates with steatohepatitis in human livers. These findings demonstrate significant cellular differences in lipid signatures and identify functional networks linked to hepatic steatosis in mice and humans. |
format | Online Article Text |
id | pubmed-9830221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98302212023-01-11 Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution Coassolo, Laetitia Liu, Tianyun Jung, Yunshin Taylor, Nikki P. Zhao, Meng Charville, Gregory W. Nissen, Silas Boye Yki-Jarvinen, Hannele Altman, Russ B. Svensson, Katrin J. iScience Article Non-alcoholic fatty liver disease is a heterogeneous disease with unclear underlying molecular mechanisms. Here, we perform single-cell RNA sequencing of hepatocytes and hepatic non-parenchymal cells to map the lipid signatures in mice with non-alcoholic fatty liver disease (NAFLD). We uncover previously unidentified clusters of hepatocytes characterized by either high or low srebp1 expression. Surprisingly, the canonical lipid synthesis driver Srebp1 is not predictive of hepatic lipid accumulation, suggestive of other drivers of lipid metabolism. By combining transcriptional data at single-cell resolution with computational network analyses, we find that NAFLD is associated with high constitutive androstane receptor (CAR) expression. Mechanistically, CAR interacts with four functional modules: cholesterol homeostasis, bile acid metabolism, fatty acid metabolism, and estrogen response. Nuclear expression of CAR positively correlates with steatohepatitis in human livers. These findings demonstrate significant cellular differences in lipid signatures and identify functional networks linked to hepatic steatosis in mice and humans. Elsevier 2022-12-15 /pmc/articles/PMC9830221/ /pubmed/36636354 http://dx.doi.org/10.1016/j.isci.2022.105802 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Coassolo, Laetitia Liu, Tianyun Jung, Yunshin Taylor, Nikki P. Zhao, Meng Charville, Gregory W. Nissen, Silas Boye Yki-Jarvinen, Hannele Altman, Russ B. Svensson, Katrin J. Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title | Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title_full | Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title_fullStr | Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title_full_unstemmed | Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title_short | Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
title_sort | mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830221/ https://www.ncbi.nlm.nih.gov/pubmed/36636354 http://dx.doi.org/10.1016/j.isci.2022.105802 |
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