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Series GSE169084 Query DataSets for GSE169084
Status Public on Jul 19, 2021
Title A human liver cell-based system modeling a clinical prognostic liver signature combined with single-cell RNA-Seq for discovery of liver disease therapeutics
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design We performed bulk RNA sequencing of DMSO differentiated Huh751 at different time points
 
Contributor(s) Crouchet E, Zhu S, Hoshida Y, Baumert TF
Citation(s) 34535664
Submission date Mar 17, 2021
Last update date Jun 29, 2022
Contact name Shijia Zhu
E-mail(s) shijia.zhu@utsouthwestern.edu
Organization name University of Texas Southwestern Medical Center
Street address 5323 Harry Hines Blvd
City DALLAS
State/province Texas
ZIP/Postal code 75390
Country USA
 
Platforms (1)
GPL21697 NextSeq 550 (Homo sapiens)
Samples (12)
GSM5176220 Huh751_D0_1
GSM5176221 Huh751_D0_2
GSM5176222 Huh751_D0_3
This SubSeries is part of SuperSeries:
GSE66843 A cell-based model unravels drivers for hepatocarcinogenesis and targets for clinical chemoprevention
Relations
BioProject PRJNA715183
SRA SRP311067

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE169084_Huh7dif_rawReadCounts.txt.gz 1.8 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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