Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module

ABSTRACT: Non-alcoholic steatohepatitis (NASH) is associated with hepatic steatosis, intralobular inflammation, and fibrosis. The degree of hepatic fibrosis, mainly caused by excessive production of extracellular matrix proteins, is the sole predictor of liver-related and overall mortality in NASH patients. The hepatic stellate cells (HSCs) are causally implicated in fibrogenesis during NASH development but as sinusoidal pericytes also vital for vascular homeostasis of the healthy liver. Using single-cell RNA-sequencing we have analyzed whole liver plasticity and interrogated the transition of HSCs from pericytes in the healthy liver to collagen-producing cells in a diet-induced murine model of advanced NASH. We show how postprandial cues are sensed and integrated by HSCs promoting their phenotypic stabilization and, through paracrine mediators, sinusoidal health. While dominant under healthy conditions the basis for this multimodal signaling through stellate cell-specific Gs protein-coupled receptors and the bile-acid receptor NR1H4/FXR deteriorates in activated HSCs of the NASH liver. Expression of key signaling components were validated in situ in human and murine liver tissue supporting the translatability of our findings and pharmacological relevance in treatment of chronic liver diseases as NASH.

ORGANISM(S): Mus

PROVIDER: GSE207309 | GEO | 2023/02/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module

Project description:Non-alcoholic steatohepatitis (NASH) is associated with hepatic steatosis, intralobular inflammation, and fibrosis. The degree of hepatic fibrosis, mainly caused by excessive production of extracellular matrix proteins, is the sole predictor of liver-related and overall mortality in NASH patients. The hepatic stellate cells (HSCs) are causally implicated in fibrogenesis during NASH development but as sinusoidal pericytes also vital for vascular homeostasis of the healthy liver. Using single-cell RNA-sequencing we have analyzed whole liver plasticity and interrogated the transition of HSCs from pericytes in the healthy liver to collagen-producing cells in a diet-induced murine model of advanced NASH. We show how postprandial cues are sensed and integrated by HSCs promoting their phenotypic stabilization and, through paracrine mediators, sinusoidal health. While dominant under healthy conditions the basis for this multimodal signaling through stellate cell-specific Gs protein-coupled receptors and the bile-acid receptor NR1H4/FXR deteriorates in activated HSCs of the NASH liver. Expression of key signaling components were validated in situ in human and murine liver tissue supporting the translatability of our findings and pharmacological relevance in treatment of chronic liver diseases as NASH.

2023-11-21 | GSE218298 | GEO

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module

2023-11-21 | GSE218297 | GEO

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module

2023-11-21 | GSE218295 | GEO

Single cell-resolved study of advanced murine NASH reveals a homeostatic stellate cell signaling module [HSCc_fsk_3h_bulkRNA]

2023-11-21 | GSE218294 | GEO

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module

2023-11-21 | GSE218299 | GEO

Transcriptome of human liver cells and culture-activated hepatic stellate cells

Project description:The molecular determinants of a healthy human liver cell phenotype remain largely uncharacterized. In addition, the gene expression changes associated with activation of primary human hepatic stellate cells, a key event during fibrogenesis, remain poorly characterized. Here, we provide the transriptomic profile underpinning the healthy phenotype of human hepatocytes, liver sinusoidal endothelial cells (LSECs) and quiescent hepatic stellate cells (qHSCs) as well as activated HSCs (aHSCs) We assess the transcriptome for purified, non-cultured human hepatocytes, liver sinusoidal cells (LSECs) and quiescent hepatic stellate cells (qHSCs) as well as culture-activated HSCs (aHSCs). Hepatocytes (n=2 donors), LSECs (n=3), qHSCs (n=3) and in vitro activated HSCs (n=3; from the same donors as the qHSCs and LSECs) were used for this study.

2016-03-02 | E-GEOD-68000 | biostudies-arrayexpress

Transcriptome of human liver cells and culture-activated hepatic stellate cells

2016-03-02 | GSE68000 | GEO

Fibrosis-activated transcriptional networks govern hepatocyte reprogramming and intra-hepatic communication in metabolic associated liver fibrosis

Project description:Liver fibrosis is a strong predictor of long-term mortality in patients with non-alcoholic fatty liver disease; yet the mechanisms underlying the progression from the comparatively benign fatty liver state to advanced non-alcoholic steatohepatitis (NASH) and liver fibrosis are incompletely under-stood. Using a cell type-resolved genomics approach, we show that comprehensive alterations in hepatocyte genomic and transcriptional settings during NASH progression, led to a partial loss of hepatocyte identity. The hepatocyte reprogramming was under tight cooperative control of a net-work of NASH-activated transcription factors (TFs), as exemplified by Elf3 and Glis2. Indeed, Elf3 and Glis2 controlled hepatocyte identity and fibrosis-dependent hepatokine genes targeting disease-associated hepatic stellate cell (HSC) gene programs. Thus, interconnected TF networks not only promoted hepatocyte dysfunction, but also directed the intra-hepatic crosstalk with HSCs necessary for NASH and fibrosis progression implying molecular “hub-centered” targeting strategies to be superior to existing mono-target approaches as currently used in NASH therapy.

2021-07-13 | PXD025691 | Pride

Integrative gene expression profiling analysis of human quiescent hepatic stellate cells

Project description:Unveiling the regulatory pathways maintaining hepatic stellate cells (HSC) in a quiescent (q) phenotype is essential to develop new therapeutic strategies to treat fibrogenic diseases. To uncover the miRNA-mRNAs regulatory interactions in qHSCs, HSCs were FACS-sorted from healthy livers and activated HSCs were generated in vitro. MiRNA Taqman array analysis showed HSCs expressed a low number of miRNA, from which 46 were down-regulated and 212 up-regulated upon activation. Computational integration of miRNA and gene expression profiles revealed that 66% of qHSCs miRNAs correlated with more than 6 altered targeted mRNAs (17,28Â±10,7 targets/miRNA), whereas aHSC-associated miRNAs had an average of 1,49 targeted genes. Interestingly, interaction networks generated by miRNA-targeted genes in qHSCs were associated with key HSCs activation processes. Next, selected miRNAs were validated in healthy and cirrhotic human livers and miR-192 was chosen for functional analysis. Down-regulation of miR-192 in HSC was found to be an early event during fibrosis progression in mouse models of liver injury. Moreover, mimic assays for miR-192 in HSCs revealed its role in HSC activation, proliferation and migration. Together, these results uncover the importance of miRNAs in the maintenance of qHSC phenotype and form the basis for understanding the regulatory networks in HSCs. Transcriptomic profile derived from four quiescent hepatic stellate (QHSC), four activated hepatic stellate (AHSC), three liver sinusoidal endothelial (LSEC) and two hepatocytes cells (HEP).

2015-11-23 | E-GEOD-67664 | biostudies-arrayexpress

Gene Expression Analysis of the response to ACC inhibition

Project description:BACKGROUND & AIMS: Nonalcoholic steatohepatitis (NASH) is a chronic liver disease characterized by hepatic lipid accumulation, inflammation, and progressive fibrosis. Acetyl-CoA carboxylase (ACC) catalyzes the rate-limiting step of de novo lipogenesis and regulates fatty-acid beta-oxidation in hepatocytes. ACC inhibition reduces hepatic fat content and markers of liver injury in NASH patients; however, the effect of ACC inhibition on liver fibrosis has not been reported. METHODS: A direct role for ACC in fibrosis was evaluated by measuring de novo lipogenesis, procollagen production, gene expression, glycolysis, and mitochondrial respiration in hepatic stellate cells (HSCs) in the absence or presence of small-molecule inhibitors of ACC. ACC inhibitors were evaluated in rodent models of liver fibrosis induced by diet or the hepatotoxin, DEN. Fibrosis and hepatic steatosis were evaluated by histological and biochemical assessments. RESULTS: In TGF-beta-stimulated HSCs, ACC inhibition reduced activation and collagen production independent of mitochondrial beta-oxidation by blocking de novo lipogenesis. ACC inhibition prevented a metabolic switch necessary for induction of glycolysis and oxidative phosphorylation during HSC activation. Consistent with this direct anti-fibrotic mechanism in HSCs, ACC inhibition reduced liver fibrosis in a rat CDHFD model and in response to chronic DEN-induced liver injury that lacked hepatic lipid accumulation. CONCLUSIONS: In addition to reducing lipid accumulation in hepatocytes, ACC inhibition also directly impairs the pro-fibrogenic activity of HSCs. Small molecule inhibitors of ACC may reduce liver fibrosis by both reducing lipotoxicity in hepatocytes and directly reducing HSC activation, providing a mechanistic rationale for the treatment of patients with advanced liver fibrosis due to NASH.

2020-04-24 | GSE148849 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data