Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Methylation profiling of Glioma Stem Cell lines vs GBM FFPE tissue biopsies and foetal Neural Stem Cell lines


ABSTRACT: The DNA methylation profiles of Glioma Stem Cell (GSC) lines were investigated in order to find the stem cell signature associated to glioblastoma (GBM). This goal was achieved through the comparison of GSC methylation data with FFPE-GBM biopsies and human foetal Neural Stem Cell (NSC) lines profiles. GSC lines: 3 (GBM2, G144, G166). FFPE-GBM biopsy pool: FFPE-GBM pool: 1 pool from 5 GBM biopsies. Human foetal NSC lines: 2 (CB660 from forebrain; CB660SP form spinal cord). Methylated DNA from each sample was enriched with the immunoprecipitation method using 5-methylcytosine antibody (Eurogentec). Immunoprecipitated DNA (IP-DNA) and total DNA were labeled and hybridized on Agilent Human CpG Island ChIP-on-Chip Microarray 244K. IP-DNA were labeled with Cy5 while the matching total DNA were labeled with Cy3.

ORGANISM(S): Homo sapiens

SUBMITTER: Simona Baronchelli 

PROVIDER: E-GEOD-41824 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


Glioblastoma multiforme (GBM), the most common and malignant type of glioma, is characterized by a poor prognosis and the lack of an effective treatment, which are due to a small sub-population of cells with stem-like properties, termed glioma stem cells (GSCs). The term "multiforme" describes the histological features of this tumor, that is, the cellular and morphological heterogeneity. At the molecular level multiple layers of alterations may reflect this heterogeneity providing together the d  ...[more]

Similar Datasets

2013-03-08 | GSE41824 | GEO
2022-05-11 | E-MTAB-10978 | biostudies-arrayexpress
2013-03-08 | E-GEOD-41875 | biostudies-arrayexpress
2015-10-24 | E-GEOD-74304 | biostudies-arrayexpress
2013-11-14 | E-GEOD-51822 | biostudies-arrayexpress
2022-05-11 | E-MTAB-10977 | biostudies-arrayexpress
2015-11-26 | E-GEOD-60705 | biostudies-arrayexpress
2013-05-03 | E-GEOD-43501 | biostudies-arrayexpress
2015-05-07 | E-GEOD-60831 | biostudies-arrayexpress
2019-12-20 | GSE138114 | GEO