Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the human GICs and glioma cell lines and neural stem cells by miRNA microarrays. We examined the miRNA expression profiles of five human GICs that were obtained from human glioma samples and two human glioma cell lines, U87 and U251, and NSC (neural stem cells) as a control.
Project description:Genome wide DNA methylation profiling of 112 human glioma samples. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in glioma samples, including 55 WHO grade 2 glioma samples, 33 WHO grade 3 glioma samples and 24 WHO grade 4 glioma samples.
Project description:Developing a classification model based on differential expression miRNAs profile in serum WHO CNS5 adult-type diffuse glioma samples to improve of diagnosis of grade 4 glioma.
2024-03-01 | GSE247312 | GEO
Project description:RNA sequencing of glioma samples
| PRJNA767573 | ENA
Project description:Duplex sequencing of five GBM samples
Project description:The aim of this study was to identify the transcriptomic response 6 hours after the MRT irradiation, in normal brain tissue (11 samples) and in glioma tissue (11 samples), in rat. The orthotopic tumor-bearing rats were either treated with MRT radiation (six MRT-tumors), or untreated (five No irradiated tumors). The contralateral half hemisphere without tumor received the MRT treatment for six rats (6 MRT-Contralateral samples) and no irradiation for five rats (5 Untreated contralateral samples). Six hours after treatment, the tumors and their controlateral regions were resected and analysed for transcriptomic response.
Project description:The pathological changes in epigenetics and gene regulation that accompany the progression of low-grade to high-grade gliomas are under-studied. The authors use a large set of paired atac-seq and RNA-seq data from surgically resected glioma specimens to infer gene regulatory relationships in glioma. Thirty-eight glioma patient samples underwent atac-seq sequencing and 16 samples underwent additional RNA-seq analysis. Using an atac-seq/RNA-seq correlation matrix, atac-seq peaks were paired with genes based on high correlation values (|r2| > 0.6). Samples clustered by IDH1 status but not by grade. Surprisingly there was a trend for IDH1 mutant samples to have more peaks. The majority of peaks are positively correlated with survival and positively correlated with gene expression. Constructing a model of the top six atac-seq peaks created a highly accurate survival prediction model (r2 = 0.68). Four of these peaks were still significant after controlling for age, grade, pathology, IDH1 status and gender. Grade II, III, and IV (primary) samples have similar transcription factors and gene modules. However, grade IV (recurrent) samples have strikingly few peaks. Patient-derived glioma cultures showed decreased peak counts following radiation indicating that this may be radiation-induced. This study supports the notion that IDH1 mutant and IDH1 wildtype gliomas have different epigenetic landscapes and that accessible chromatin sites mapped by atac-seq peaks tend to be positively correlated with expression. The data in this study leads to a new model of treatment response wherein glioma cells respond to radiation therapy by closing open regions of DNA.
Project description:We profiled glioma samples to determine the histone modifications relative to different molecular markers, as well as different germline alterations.