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Transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

ABSTRACT: Transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

PROVIDER: PRJNA691975 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13433962.fastq.gz	Fastqsanger.gz
	SRR13433963.fastq.gz	Fastqsanger.gz
	SRR13433964.fastq.gz	Fastqsanger.gz
	SRR13433965.fastq.gz	Fastqsanger.gz
	SRR13433966.fastq.gz	Fastqsanger.gz

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Rat transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

Project description:Rat transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

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Transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

Project description:In this study RNAseq was used for studying the transcriptome profile of primary liver sinusoidal endothelial cells (LSECs) isolated from non-lesioned non-tumorous liver tissues (considered as healthy) and from cirrhotic liver explants (ethanol etiology). Results showed different transcriptomic profile between two populations of LSECs with 1374 significant deregulated genes (fold-change>1.5 and p-vale<0.05) in cirrhotic-LSECs compared with healthy-LSECs.

2021-09-24 | GSE164799 | GEO

Rat transcriptomic profiling of liver sinusoidal endothelial cells during chronic liver disease reveals stage-specific secretory signature

Project description:RNAseq was applied to define the transcriptome of primary LSECs from rats with acute liver injury, mild liver fibrosis and advanced chronic liver disease (CLD) (due to CCl4 or thioacetamide administration). Results showed different transcriptomic profile during progression of CLD, and a large number of significant de-regulated genes (1412) were shared in cirrhotic CCl4- and TAA-LSECs (fold-change>1.5 and p-vale<0.05)compared with their respective healthy-LSECs.

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Transcriptomic Profiling of the Liver Sinusoidal Endothelium during Cirrhosis Reveals Stage-Specific Secretory Signature.

Project description:The poor prognosis of chronic liver disease (CLD) generates the need to investigate the evolving mechanisms of disease progression, thus disclosing therapeutic targets before development of clinical complications. Considering the central role of liver sinusoidal endothelial cells (LSECs) in pre-neoplastic advanced CLD, the present study aimed at investigating the progression of CLD from an endothelial holistic perspective. RNAseq defined the transcriptome of primary LSECs isolated from three pre-clinical models of advanced CLD, during the progression of the disease, and from fresh human cirrhotic tissue. At each stage of the disease, the effects of LSECs secretome on neighboring cells and proteomic analysis of LSECs-derived extracellular vesicles (EVs) were also determined. CLD was associated with deep common modifications in the transcriptome of LSECs in the pre-clinical models. Pathway enrichment analysis showed predominance of genes related with pro-oncogenic, cellular communication processes, and EVs biogenesis during CLD progression. Crosstalk experiments revealed endothelial EVs as potent angiocrine effectors. The proteome of LSECs EVs showed stage-specific signatures, including over-expression of tropomyosin-1. Proof-of-principle experiments treating cirrhotic HSCs with recombinant tropomyosin-1 suggested de-activating effects. Our data provide the basis for discovering novel biomarkers and therapeutic targets for new disease-modifying treatments for patients with advanced CLD.

| S-EPMC8198220 | biostudies-literature

Normal and injured liver sinusoidal endothelial cells

Project description:Comparison of C57BL/6J 8-10 weeks male mouse liver sinusoidal endothelial cells (LSEC) from normal liver and from liver injured by carbon tetrachloride administration. Keywords: other

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Effect of splenectomy on liver sinusoidal cells after 70% liver resection in a mouse model

Project description:In this work, the effect of splenectomy on liver sinusoidal cells was studied. For this purpose in the animals were reproduced splenectomy, and after 7 days 70% liver resection was performed. Animals in which the spleen was intact and only 70% liver resection was performed served as a comparison group. Animals in which only the spleen was removed also served as controls. The animals were removed from the experiment after 24 hours, 3 and 7 days. Liver sinusoidal cells were isolated from the livers of control animals as well as from the liver after 70% resection by magnetic sorting using the CD146 beads. RNA was isolated from the obtained liver sinusoidal cells and used for transcriptome analysis. Liver sinusoidal cells in the regenerating liver were transcriptomically enriched for signaling pathways associated with monocyte migration, cell adhesion and cell death.

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Molecular atlas of fetal and adult human liver sinusoidal endothelial cells: a F8 secreting cell [methylation III]

Project description:In-silico analysis to identify molecular signature of liver sinusoidal endothelial cells in comparison to other endohtelial cells

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Normal and injured liver sinusoidal endothelial cells

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Project description:Two of the most highly abundant transcripts in liver sinusoidal endothelial cells are Stab1 and Stab2, we investigated downstream effects on liver sinusoidal endothelial cells by disrupting their expression. We used microarrays to detail the global programme of gene expression in liver sinusoidal endothelial cells deficient for Scavenger-Receptor type H compared to Wildtype.

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Aging-associated transcriptome changes in liver sinusoidal endothelial cells.

Project description:Aging-associated transcriptome changes in liver sinusoidal endothelial cells. RNA was prepared from liver sinusoidal endothelial cells of the male 8 weeks and 24 months old C57BL/6J mice.RNA samples were then subjected to RNA-sequencing and gene expression profiling analysis.

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