Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

ABSTRACT: A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

PROVIDER: PRJNA715183 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13989112.fastq.gz	Fastqsanger.gz
	SRR13989113.fastq.gz	Fastqsanger.gz
	SRR13989114.fastq.gz	Fastqsanger.gz
	SRR13989115.fastq.gz	Fastqsanger.gz
	SRR13989116.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

Project description:Abstract: Chronic liver disease and hepatocellular carcinoma (HCC) are life-threatening with limited treatment options. The lack of clinically relevant/tractable experimental models hampers therapeutic discovery. We developed a simple and robust human liver cell-based system modeling a clinical prognostic liver signature (PLS) predicting long-term liver disease progression toward HCC. Using the PLS as a readout, followed by validation in NASH-HCC animal models and patient-derived tumorspheroids, we identified nizatidine, a histamine receptor H2 (HRH2) blocker, for treatment of advanced liver disease and HCC chemoprevention. Perturbation studies combined with scRNA-Seq analyses of patient liver tissues uncovered HRH2+, CLEC5Ahigh, MARCOlow liver macrophages and hepatocytes as nizatidine targets. The PLS model combined with scRNA-Seq of patient tissues enables discovery of urgently needed targets and therapeutics for treatment of advanced liver disease and cancer prevention.

2021-07-01 | GSE173671 | GEO

A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

2021-07-19 | GSE169084 | GEO

A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

Project description:A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics

| PRJNA726566 | ENA

A human liver cell-based system modeling a clinical prognostic liver signature for therapeutic discovery.

Project description:Chronic liver disease and hepatocellular carcinoma (HCC) are life-threatening diseases with limited treatment options. The lack of clinically relevant/tractable experimental models hampers therapeutic discovery. Here, we develop a simple and robust human liver cell-based system modeling a clinical prognostic liver signature (PLS) predicting long-term liver disease progression toward HCC. Using the PLS as a readout, followed by validation in nonalcoholic steatohepatitis/fibrosis/HCC animal models and patient-derived liver spheroids, we identify nizatidine, a histamine receptor H2 (HRH2) blocker, for treatment of advanced liver disease and HCC chemoprevention. Moreover, perturbation studies combined with single cell RNA-Seq analyses of patient liver tissues uncover hepatocytes and HRH2+, CLEC5Ahigh, MARCOlow liver macrophages as potential nizatidine targets. The PLS model combined with single cell RNA-Seq of patient tissues enables discovery of urgently needed targets and therapeutics for treatment of advanced liver disease and cancer prevention.

| S-EPMC8448834 | biostudies-literature

Benchmarking pathway analysis methods offer novel prognostic cancer biomarkers and therapeutics: application in bladder cancer

Project description:Benchmarking pathway analysis methods offer novel prognostic cancer biomarkers and therapeutics: application in bladder cancer

| PRJNA922546 | ENA

development of prognostic biomarkers for HBV-related acute-on-chronic liver failure

Project description:development of prognostic biomarkers for HBV-related acute-on-chronic liver failure

2020-03-07 | PXD017928 |

Prognostic Liver Signature profiles in post-transplant liver biopsy tissues from chronic hepatitis C patients

Project description:Prognostic Liver Signature profiles in post-transplant liver biopsy tissues from chronic hepatitis C patients

| PRJNA752381 | ENA

Prognostic Liver Signature for NAFLD (PLS-NAFLD) profiles of cell-based PLS system treated with free fatty acids (FFA) and IDO1 inhibitor, epacadostat.

Project description:Non-alcoholic fatty liver disease (NAFLD), alongside the global obesity epidemic, is rapidly emerging as a dominant liver disease etiology that leads to progressive liver fibrosis, its terminal stage, cirrhosis, and hepatocellular carcinoma (HCC). We identified and validated a 133-gene signature (Prognostic Liver Signature for NAFLD [PLS-NAFLD]) to predict long-term HCC risk in patients with NAFLD. By analyzing PLS-NAFLD, IDO1 was identified as a potenial chemopreventive target for HCC from NAFLD. To test this hypothesis, we utilized our clinical-prognostic-signature-inducible cell culture model. We first confirmed that free fatty acid treatment (800 μM oleic acid and 400 μM palmitic acid) can induce PLS-NAFLD, then IDO1 inhibitor, epacadostat, can reverse the high-risk pattern in a dose-dependent manner.

2022-07-01 | GSE200460 | GEO

The Discovery and Validation of AML Prognostic Biomarkers

Project description:The Discovery and Validation of AML Prognostic Biomarkers

| PRJNA805342 | ENA

The Discovery and Validation of AML Prognostic Biomarkers

Project description:The Discovery and Validation of AML Prognostic Biomarkers

| PRJNA805341 | ENA