Dataset Information

Modeling pediatric medulloblastoma.

ABSTRACT: Mouse models of medulloblastoma have proven to be instrumental in understanding disease mechanisms, particularly the role of epigenetic and molecular drivers, and establishing appropriate preclinical pipelines. To date, our research community has developed murine models for all four groups of medulloblastoma, each of which will be critical for the identification and development of new therapeutic approaches. Approaches to modeling medulloblastoma range from genetic engineering with CRISPR/Cas9 or in utero electroporation, to orthotopic and patient-derived orthotopic xenograft systems. Each approach or model presents unique advantages that have ultimately contributed to an appreciation of medulloblastoma heterogeneity and the clinical obstacles that exist for this patient population.

SUBMITTER: Roussel MF

PROVIDER: S-EPMC7317774 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Modeling pediatric medulloblastoma.

Roussel Martine F MF Stripay Jennifer L JL

Brain pathology (Zurich, Switzerland) 20191217 3

Mouse models of medulloblastoma have proven to be instrumental in understanding disease mechanisms, particularly the role of epigenetic and molecular drivers, and establishing appropriate preclinical pipelines. To date, our research community has developed murine models for all four groups of medulloblastoma, each of which will be critical for the identification and development of new therapeutic approaches. Approaches to modeling medulloblastoma range from genetic engineering with CRISPR/Cas9 o ...[more]

PMID: 31788908

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Project description:Medulloblastoma (MB) is one of the most common malignant pediatric brain tumor. The aim of our study was to understand which mechanisms are involved in aberrant activation of Wnt pathway and its association with MB tumor development. We studied the expression profiles of 19 MBs tumors using a genome-wide approach, furthermore we have included the data obtained from four independent public Datasets of gene expression (see README file below) to increase the statistical power of the study. The expression profiles identified the Wnt inhibitor gene, DKK3, significant down-regulated. DKK3 down-regulation was confirmed by qPCR in 80% of samples (27/33 MB tumors and in 3/5 MB human cell lines). Since DKK3 was found methylated in several cancers we also investigated the status of methylated CpG sites within the three promoters by a combination of two approaches: the MSP and pyrosequencing. MSP showed no methylation in all promoters while the pyrosequencing, a quantitative technique, indicated a very low level of methylation. To verify the epigenetic involvement on DKK3 silencing, we also studied the effect of Trichostatin A (TSA) in 4 MB cell lines (DAOY; D283; D425; D458). After TSA treatment we observed a significant DKK3 mRNA expression increase in 3/4 cell lines compared to the no treated cells. DAOY cells, that have a normal DKK3 expression value, did not change significantly the DKK3 expression after TSA treatment. To further validate the role of histone tail modifications as an epigenetic silencing mechanism for DKK3 in MB, we performed Chromatin Immunoprecipitation (ChIP) experiment using antibodies against acetylated histones. According to our earlier results, TSA treatment increased the signal of the histone modification meH3K4 which is related to a transcriptionally active gene respect to the untreated controls. Finally, we evaluated the DKK3 protein in three MB cell lines (DAOY; D283; D425) after 24h of TSA treatment, by immunofluorescence. We analysed 19 Medulloblastoma tumor from pediatric patients, a commercial pool (Clontech) of 24 normal cerebellum from female and male Caucasians (ages: 16-70 years; cause of death: sudden death) and a pool of 10 normal cerebellum from children (6 Caucasians and 4 African Americans; ages: 0-16 years; cause of death: sudden death) using 44K whole genome oligonucleotids microarray

Dataset Information

Modeling pediatric medulloblastoma.

Publications

Modeling pediatric medulloblastoma.

Similar Datasets

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