Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (bulk)

ABSTRACT: Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (bulk)

PROVIDER: PRJNA749048 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Modeling Hepatoblastoma

Project description:Modeling Hepatoblastoma

| PRJNA749045 | ENA

Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (bulk)

Project description:Hepatoblastoma (HB) is the most common primary liver malignancy of childhood. However, molecular investigations of the disease are limited and effective treatment options are lacking. The use of patient derived xenografts (PDX) to study biology and treatment strategies of HB has proven to be a useful tool. There is currently a knowledge gap in the investigation of key driver cells of HB in PDX models. Key driving pathways of HB tumor including WNT, AP-1, Hedgehog, Notch and MAPK pathways and genes such as GPC3, DLK1 and HMGA2 have been identified in primary HB tumor and PDX as integral players in HB tumor growth. Cell clusters have been defined with distinct roles in tumor development. Cell populations with initiating, angiogenic (endothelial), maintenance, and progression signatures have been identified in one HB patient tumor and corresponding PDX tumor. Critical pathways combined with identification of distinct cell populations within HB tumor will allow for investigation of novel treatment strategies in vitro and in vivo.

2021-07-29 | GSE180664 | GEO

Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (scRNA-seq)

2021-07-29 | GSE180665 | GEO

Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (scRNA-seq)

Project description:Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing (scRNA-seq)

| PRJNA749050 | ENA

EZH2 is a key component of Hepatoblastoma tumor cell growth

Project description:To understand molecular mechanisms driving HB pathogenesis, we hypothesize that pathologic activation of Enhancer of Zeste Homolog 2 contributes to hepatoblastoma propagation. Here we demonstrate that EZH2 promotes proliferation in HB cell lines through interaction with β-catenin, the most frequently mutated gene in HB. We demonstrate that canonical and noncanonical EZH2 signaling occur in HB tumor cells, likely driven by aberrant EZH2 expression. We use comparison groups of liver cancer, hepatocytes, and dermal fibroblasts to establish the hepatoblastoma identity of our patient-derived cell lines.

2023-11-15 | GSE235202 | GEO

Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma.

Project description: Not available

| S-EPMC8426487 | biostudies-literature

Hepatic transcriptome of pediatric hepatoblastoma.

Project description:The mechanisms underlying hepatoblastoma are not well defined. To address this, we generated transcriptomic profiles of normal, background, and hepatoblastoma liver samples from patients aged 0.01 months to 6 years, using RNA-sequencing. Hepatoblasoma was histologically confirmed. Here we focus on the elevation of stem cell markers and the loss of tumor suppressor proteins leading to the development of hepatoblastoma in very young children.

2018-07-01 | GSE81928 | GEO

CRISPR/Cas9-mediated knockout of PIM3 suppresses tumorigenesis and cancer cell stemness in human hepatoblastoma cells.

Project description:Hepatoblastoma remains one of the most difficult childhood tumors to treat and is alarmingly understudied. Over half of patients initially present with locally advanced or metastatic disease and the prognosis for this cohort remains dismal. In addition, many of these children have disease that is resistant to standard therapies and will require novel and targeted therapies to effectively treat or manage their disease. We previously demonstrated that Proviral Insertion site in Maloney murine leukemia virus (PIM) kinases, specifically PIM3, are overexpressed in human hepatoblastoma cells and function to promote tumorigenesis. We aimed to use CRISPR/Cas9 gene editing technology with dual gRNAs to introduce large inactivating deletions in the PIM3 gene and achieve stable PIM3 knockout (KO) in the human hepatoblastoma cell line, HuH6. PIM3 KO of hepatoblastoma cells led to significantly decreased proliferation, viability, and motility, inhibited cell-cycle progression, decreased tumor growth in a xenograft murine model, and increased animal survival. Analysis of RNA sequencing data revealed that PIM3 KO downregulated expression of pro-migratory and pro-invasive genes and upregulated expression of genes involved in apoptosis and differentiation. Furthermore, PIM3 KO decreased hepatoblastoma cancer cell stemness as evidenced by decreased tumorsphere formation, decreased mRNA abundance of stemness markers, and decreased cell surface expression of CD133, a marker of hepatoblastoma stem cell-like cancer cells. Reintroduction of PIM3 into PIM3 KO cells rescued the malignant phenotype. These findings emphasize the role of PIM3 in promoting hepatoblastoma tumorigenesis and provide evidence that targeting PIM3 may offer a novel therapeutic approach for children with hepatoblastoma.

2021-10-27 | GSE164082 | GEO

Targeting the unwindosome by mebendazole is a vulnerability of chemoresistant hepatoblastoma

Project description:We identified mebendazole as a drug to circumvent chemoresistance in hepatoblastoma cell lines that are resistant to cisplatin. In order to identify the mechanistic basis of mebendazole function, we performed gene expression analysis of three mebendazole-treated hepatoblastoma cell lines.

2022-07-28 | GSE209824 | GEO

GATA4 silenced HUH6 hepatoblastoma cells

Project description:The effects of GATA4 silencing on global gene expression in HUH6 hepatoblastoma cells was analyzed. Using microarray analysis we identified a set of genes that are downregulated or upregulated following silencing of GATA4 in HUH6 cell line.

2018-08-06 | GSE110788 | 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