<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Coassolo L</submitter><funding>NIDDK NIH HHS</funding><funding>Novo Nordisk Fonden</funding><funding>NIGMS NIH HHS</funding><funding>NIH HHS</funding><pagination>105802</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9830221</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(1)</volume><pubmed_abstract>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 &lt;i>srebp1&lt;/i> expression. Surprisingly, the canonical lipid synthesis driver &lt;i>Srebp1&lt;/i> 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.</pubmed_abstract><journal>iScience</journal><pubmed_title>Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution.</pubmed_title><pmcid>PMC9830221</pmcid><funding_grant_id>K99 DK111916</funding_grant_id><funding_grant_id>R01 DK125260</funding_grant_id><funding_grant_id>R01 GM102365</funding_grant_id><funding_grant_id>P30 DK116074</funding_grant_id><funding_grant_id>S10 OD020141</funding_grant_id><funding_grant_id>R00 DK111916</funding_grant_id><funding_grant_id>NNF20OC0059462</funding_grant_id><pubmed_authors>Yki-Jarvinen H</pubmed_authors><pubmed_authors>Zhao M</pubmed_authors><pubmed_authors>Altman RB</pubmed_authors><pubmed_authors>Coassolo L</pubmed_authors><pubmed_authors>Jung Y</pubmed_authors><pubmed_authors>Taylor NP</pubmed_authors><pubmed_authors>Nissen SB</pubmed_authors><pubmed_authors>Liu T</pubmed_authors><pubmed_authors>Charville GW</pubmed_authors><pubmed_authors>Svensson KJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution.</name><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 &lt;i>srebp1&lt;/i> expression. Surprisingly, the canonical lipid synthesis driver &lt;i>Srebp1&lt;/i> 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.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2024-12-04T12:35:10.47Z</modification><creation>2024-12-04T12:35:10.47Z</creation></dates><accession>S-EPMC9830221</accession><cross_references><pubmed>36636354</pubmed><doi>10.1016/j.isci.2022.105802</doi></cross_references></HashMap>