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TranscriptomicsaCGH profiling of glioblastoma biopsies obtained by neuro-navigation in four distinct areas for 10 patients (necrotic zone, tumor zone, interface, and peripheral brain zone).
We classified samples and deciphered a key genes signature of intratumor heterogeneity by Principal Component Analysis and Weighted Gene Co-expression Network Analysis. At the genome level, we identified common GB copy number alterations and but a strong inter-individual molecular heterogeneity.
ORGANISM(S): Homo sapiens 
2016-09-19 | E-MTAB-5098 | biostudies-arrayexpress
TranscriptomicsMethylome profiling of glioblastoma biopsies obtained by neuro-navigation in four distinct areas for 10 patients (necrotic zone, tumor zone, interface, and peripheral brain zone).
We classified samples and deciphered a key genes signature of intratumor heterogeneity by Principal Component Analysis and Weighted Gene Co-expression Network Analysis. We provide a signature of key cancer-heterogeneity genes highly associated with the intratumor spatial gradient and show that it is...
ORGANISM(S): Homo sapiens 
2016-09-19 | E-MTAB-5109 | biostudies-arrayexpress
TranscriptomicsTranscriptome profiling of glioblastoma biopsies obtained by neuro-navigation in four distinct areas for 10 patients (necrotic zone, tumor zone, interface, and peripheral brain zone).
We classified samples and deciphered a key genes signature of intratumor heterogeneity by Principal Component Analysis and Weighted Gene Co-expression Network Analysis. Transcriptome analysis highlighted a pronounced intratumor architecture reflecting the surgical sampling plan of the study and iden...
ORGANISM(S): Homo sapiens 
2016-09-19 | E-MTAB-5092 | biostudies-arrayexpress
TranscriptomicsDNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome
This SuperSeries is composed of the following subset Series: GSE22866: DNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Agilent Expression Study) GSE22867: DNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Illumina) R...
ORGANISM(S): Homo sapiens 
2011-06-29 | E-GEOD-22891 | biostudies-arrayexpress
TranscriptomicsDual IRE1 RNase functions dictate glioblastoma development
The transcriptome dataset has been used to validate on a GBM patient cohort (n=117) the IRE1-dependent gene expression signature identified in U87 cell line.
ORGANISM(S): Homo sapiens 
2018-01-09 | E-MTAB-6326 | biostudies-arrayexpress
TranscriptomicsDNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Illumina)
Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for...
ORGANISM(S): Homo sapiens 
2011-01-19 | E-GEOD-22867 | biostudies-arrayexpress
TranscriptomicsDNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Agilent Expression Study)
Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for...
ORGANISM(S): Homo sapiens 
2011-01-19 | E-GEOD-22866 | biostudies-arrayexpress
TranscriptomicsIsolation and characterization of cancer-associated fibroblast-like cells in the glioblastoma microenvironment
Glioblastoma (GB) is a highly infiltrative tumor recurring in 90% of cases within a few centimeters of the resection cavity, even in cases of complete tumor resection and adjuvant chemo/radiotherapy. This observation highlights the importance of understanding this special zone of brain tissue surrou...
ORGANISM(S): Homo sapiens 
2011-10-31 | E-GEOD-24100 | biostudies-arrayexpress
TranscriptomicsA novel six-CpGs signature predicts clinical outcome in glioblastomas
We aimed to identify a clinically useful biomarker using DNA methylation-based information to optimize the management of glioblastoma (GBM) patients. We identified a novel six-CpGs signature that predicts the clinical outcome in GBM. The methylation profiling of 79 GBM patients has been used as a va...
ORGANISM(S): Homo sapiens 
2017-12-15 | E-MTAB-4969 | biostudies-arrayexpress
TranscriptomicsCytosine methylation of mature microRNAs inhibits their functions and is associated with poor prognosis in glioblastoma multiforme
In the article we demonstrate that a significant fraction of mature microRNAs contains 5mC. We have developed a high-throughput bisulfite-based sequencing method to identify methylated microRNAs.
ORGANISM(S): Homo sapiens 
2020-12-31 | E-MTAB-7684 | biostudies-arrayexpress
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