Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

34 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of three type of grade II gliomas

ABSTRACT: In this study we performed gene expression profiling of 14 cases of grade II gliomas. The results of these analysis were used in unsupervised analyses to compare correlations between the histological subtype of grade II gliomas and gene expression profiles Total RNA was isolated from 14 tumor tissue of patients, which included 5 astrocytomas WHO grade II (T2), 5 oligodendro-gliomas WHO grade II (T2) and 4 ependymomas WHO grade II (T2) samples, in additional to 4 normal tissues. The genome-wide expression analysis was first performed by directly comparing the expression profile of highly enriched different kinds of grade II gliomas and normal tissues, we then applied various data-mining methods to process the 14 different types of grade II gliomas tissues sample.

ORGANISM(S): Homo sapiens

SUBMITTER: Zhiqiang Yao

PROVIDER: E-GEOD-21354 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Gene expression profiling in human high-grade astrocytomas.

Liu Zhongyu Z Yao Zhiqiang Z Li Chao C Lu Yicheng Y Gao Chunfang C

Comparative and functional genomics 20110807

Diffuse astrocytoma of (WHO grade II) has a tendency to progress spontaneously to anaplastic astrocytoma (WHO grade III) and/or glioblastoma (WHO grade IV). However, the molecular basis of astrocytoma progression is still poorly understood. In current study, an essential initial step toward this goal is the establishment of the taxonomy of tumors on the basis of their gene expression profiles. We have used gene expression profiling, unsupervised (hierarchal cluster (HCL) and principal component ...[more]

PMID: 21836821

Similar Datasets

Expression data from different grades (WHO) of astrocytomas (ACM)

Project description:The aim of the study was to identify significant alterations in genes and molecular functional pathways in comparison with normal and ACM tissue, and detect the marker genes to differentiate the different stage astrocytomas Total RNA was isolated from Seventeen tumor tissue of patients, which included two WHO grade I(T1) and five WHO grade II(T2), III(T3) and IV(T4) samples, and four pooled normal tissue samples. The genome-wide expression analysis was first performed by directly comparing the expression profile of highly enriched different grade astrocytomas and pooled normal tissues, we then applied various data-mining methods to process the 15 different grades tumor tissues sample. Paired T-test and Q-cluster method was performed to explore mark genes validated by qRT-PCR. This study utilized a pathway-specific enrichment analysis of the microarray data and quantified the gene expression difference between astrocytomas tumor and pooled normal tissues. BioCarta and KEGG pathways of the ACM compared to normal tissue were identified through enrichment tests on gene lists obtained using SAM, while GO is organized into hierarchical annotations in the context of normal cellular function, the BioCarta and KEGG database organizes the genes(gen products) into pathway reaction maps and functional complexes, including some disease-specific pathway

2010-01-05 | E-GEOD-19728 | biostudies-arrayexpress

gene expression profiling of three type of grade II gliomas

Project description:In this study we performed gene expression profiling of 14 cases of grade II gliomas. The results of these analysis were used in unsupervised analyses to compare correlations between the histological subtype of grade II gliomas and gene expression profiles

2010-12-31 | GSE21354 | GEO

Modeling Malignant Progression in Glioma

Project description:Gliomas are the most common primary brain tumor in humans. Low-grade gliomas (WHO grade II) invariably progress to high-grade gliomas (WHO grade III or IV). Although malignant progression may take many years, the survival rate after transformation to a high-grade glioma is poor, often only 12-15 months. In this data set, we have identified low-grade gliomas that have progressed to high-grade gliomas or high-grade gliomas that have progressed from low-grade gliomas. Some cases are matched pairs (meaning we have both the original low-grade tumor and the subsequent high-grade tumor). The samples deposited have been analyzed with bulk-RNA sequencing. They are also de-identified but are clinically annotated. When available, genetic information including IDH mutation status, 1p/19q deletion and histological subtype are also included.

2021-09-30 | GSE184941 | GEO

iTRAQ-based quantitative proteomic analysis of membrane and nuclear fractions of glioma (WHO grade II, III and IV) tissues to map on Chromosome 12 and identification of mass spectrometry evidence for 'missing proteins'

Project description:Glioma tumors arise from normal glial cells (astrocytes). Gliomas are morphologically and clinically classified into four malignancy grades as Grade I, II, III and IV. Grade I and II comprise low grade gliomas that grow slowly, are well differentiated and have a better prognosis and survival compared to grades III and IV. In contrast, grade III-IV lack endothelial proliferation and are highly vascular with a tendency to infiltrate and have areas of extensive necrosis and hypoxia. In the present study, we used iTRAQ (isobaric tags for relative and absolute quantitation) - based quantitative proteomic approach followed by liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential membrane and nuclear proteins mapping to Chromosome 12 from three different grades of astrocytoma tumors (WHO Grade II, III and IV) compared to control.

2019-06-04 | PXD000848 | Pride

iTRAQ-based quantitative proteomic analysis of nuclear fractions of glioma (WHO grade II, III and IV) tissues to identify altered transcriptional regulatory proteins

Project description:Glioma tumors arise from normal glial cells (astrocytes). Gliomas are morphologically and clinically classified into four malignancy grades as Grade I, II, III and IV. Grade I and II comprise low grade gliomas that grow slowly, are well differentiated and have a better prognosis and survival compared to grades III and IV. In contrast, grade III-IV lack endothelial proliferation and are highly vascular with a tendency to infiltrate and have areas of extensive necrosis and hypoxia. In the present study, we used iTRAQ (isobaric tags for relative and absolute quantitation) - based quantitative proteomic approach followed by online liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential nuclear proteins enriched with transcriptional regulatory function from three different grades of astrocytoma tumors (WHO Grade II, III and IV) compared to control.

2019-08-06 | PXD014111 | Pride

Expression data from human glioma tissues

Project description:Gliomas are aggressive lethal solid brain tumors arising from support cells in the central nervous system. Despite intense efforts to optimize the treatment of gliomas, the outcomes of high grade glioma patients are still frustrating. The causes and progress of gliomas have been investigated extensively; however, the genetic factors involved in the development of this disease remain poorly understood. We used microarrays to detail the global program of gene expression in different grade glioma tissues and try to find out some genes associated with the tumorigenesis of gliomas. Grade I to grade IV glioma tissues were selected in surgical operations for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain gene expression profiles. To that end, we hand-selected several genes that were differentially expressed in different grade glioma tissues and then performed a further study to identify the role of these genes in the process of the development of gliomas.

2013-04-10 | E-GEOD-45921 | biostudies-arrayexpress

Glioma miRNA expression profile

Project description:Comparison of the miRNAs profile of 8 WHO grade II gliomas and 24 higher grade tumors (2 WHO grade III and 22 glioblastomas) in order to identify the molecular determinants of progression.

2014-03-15 | E-MTAB-1840 | biostudies-arrayexpress

Genome-wide Analyses of Diffuse Intrinsic Pontine Gliomas

Project description:Purpose: More than 90% of children with diffuse intrinsic pontine glioma (DIPG) die within 2 years of diagnosis. There is a dire need to identify therapeutic targets, however lack of patient material for research has limited progress. We evaluated a large cohort of diffuse intrinsic pontine gliomas (DIPGs) to identify recurrent genomic abnormalities and gene expression signatures underlying DIPG. Patients and Methods: We used single nucleotide polymorphism arrays to evaluate genomic copy number imbalances in 43 DIPGs from 40 patients and in 8 low-grade exophytic brainstem gliomas. Gene expression arrays were used to evaluate expression signatures from 27 DIPGs, 6 low-grade exophytic brainstem gliomas and 66 low-grade gliomas arising outside the brainstem. Results: Frequencies of specific large-scale and focal imbalances varied significantly between DIPGs and pediatric glioblastomas outside the brainstem. Focal amplifications of genes within the receptor tyrosine kinase-Ras-PI3-kinase signaling pathway were found in 47% of DIPG, with PDGFRA and MET showing the highest frequency. 30% of DIPG contained focal amplifications of cell-cycle regulatory genes controlling RB phosphorylation, and 21% had concurrent amplification of genes from both pathways. Some tumors showed heterogeneity in amplification patterns. DIPGs showed distinct gene expression signatures relating to developmental processes compared to pediatric glioblastomas arising outside the brainstem, while expression signatures of low-grade exophytic brainstem gliomas were similar to low-grade gliomas outside the brainstem. Copy number analaysis: 43 DIPG samples, 8 Low Grade Gliomas using SNP6.0. Available matched normals are also profiled with SNP6.0. Expression analysis: 29 DIPG samples, 6 Low grade samples Please contact Suzanne Baker at Suzanne.Baker@stjude.org for CEL files and genotype calls.

2011-09-20 | E-GEOD-26576 | biostudies-arrayexpress

Expression data from cerebral tumors of WHO grade II and III

2015-04-30 | GSE61374 | GEO

Expression data from cerebral tumors of WHO grade II and III

Project description:Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors. For this study, we screened prospectively recruited patients with a histopathological reference diagnosis of cerebral tumors of WHO grade II and III, known KPS at diagnosis, information on extent of resection by early postoperative neuroimaging, available frozen tissue specimens from the initial operation, and documented clinical outcome.

2015-04-30 | E-GEOD-61374 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data