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Microarray expression data from FVB mice with induced hepatoblastoma (liver tumors)

ABSTRACT: Microarray expression data from FVB mice with induced hepatoblastoma (liver tumors)

PROVIDER: PRJNA447940 | ENA |

REPOSITORIES: ENA

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Microarray expression data from FVB mice with induced hepatoblastoma (liver tumors)

Project description:Hepatoblastoma (HB) is the most common pediatric liver tumor, and there are no targeted therapies available for children with HB. We have previously developed a murine model of HB which is driven by coactivation of the oncogenes YAP1 and β-catenin (CTNNB1) [Tao J, Calvisi D, Ranganathan S, et al. Gastroenterology, 2014 Sep; 147(3): 690–701]. We used the Sleeping Beauty transposase system combined with hydrodynamic tail vein injection to deliver plasmids containing mutant activated forms of YAP1 (YAP S127A) and β-catenin (ΔN90 β-catenin) to a small number of pericentral hepatocytes. We have shown that these few transformed hepatocytes proliferate and dedifferentiate, eventually forming histologically heterogeneous tumors that resemble various subtypes of human HB (which is also highly heterogeneous), including areas of well-differentiated fetal, crowded fetal, embryonal, and blastemal HB. Our goal was to investigate how coactivation of YAP1 and β-catenin drive the dedifferentiation of hepatocytes into hepatoblast-like tumor cells over time, leading to HB tumors. In order to measure changes in gene expression during tumorigenesis in our model, we used an Affymetrix microarray to analyze isolated RNA from wild type FVB mouse livers and tissue from livers laden with late-stage HB tumors.

2018-03-30 | GSE112485 | GEO

hepatoblastoma WES

Project description:WES sequencing of 34 hepatoblastoma tumors and controls

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Expression data from C3(1)Tag mammary tumors, tumor derived cell line (M6) and normal mammary tissue (FVB)

2011-09-01 | GSE25488 | GEO

Modeling Hepatoblastoma

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Expression data from hepatoblastoma tissues

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miRNA expression of human samples of hepatoblastoma (HB) and normal and fetal liver

Project description:Forty-nine hepatoblastoma (HB) tumor specimens were profiled on a microarray containing 250human miRNA, in order to identify miR classifiers that could discriminate HBs with diverse prognosis, and to get insight on the functional mechanisms in which miRNAs are involved. Hierarchical unsupervised clustering of HB samples according to their miRNA expression profile identifies 2 tumor subgroups associated with different degree of differentiation, proliferation rate and invasive phenotype. As subset of these tumors is used as training set to build a mir classifier. When the signature is applied to an independent test set, an independent series of HB is classified patients into two groups associated with the clinical features identified in the first set of patients.

2011-07-08 | E-GEOD-20971 | biostudies-arrayexpress

Expression data from C3(1)Tag mammary tumors, tumor derived cell line (M6) and normal mammary tissue (FVB)

Project description:M6 cells expression a similar genetic signature as the parent tumor, C3(1)Tag tumor. The mammary tumors, and tumor cell line, are distinct from normal mammary epithelial tissue (FVB) BRCA/p53, cmyc, h2n, p53ERneg, p53ERpos, pymt and ras samples were not reported in this paper. We used microarrays to determine whether the M6 cell line retains the SV40Tag signature (91 gene signature) that is expressed in C3(1)Tag tumors but not FVB normal mammary tissue.

2011-08-31 | E-GEOD-25488 | biostudies-arrayexpress

miRNA expression of human samples of hepatoblastoma (HB) and normal and fetal liver

2011-07-08 | GSE20971 | 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

A cross-comparison of technologies for the detection of microRNAs from FFPE samples of hepatoblastoma patients [microarray]

Project description:This work highlights similarities and differences between three platforms (next-generation sequencing, microarray and NanoString) for detecting miRNAs and compares their strengths and weaknesses. miRNA expression profiles were determined in 6 Hepatoblastoma FFPE samples using a microarray platform.

2015-05-03 | E-GEOD-62011 | biostudies-arrayexpress

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