Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell RNA sequencing of human primary glioblastoma

ABSTRACT: Glioblastoma (GBM) is the most lethal form of central nervous system cancer with a median survival of less than 2 years. Here, we examined the single-cell transcriptomes of primary GBM excised tumors from five different patients to explore the underlying mechanisms of GBM development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE271379 | GEO | 2024/10/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression pattern of circRNA in primary and recurrent glioblastoma.

Project description:Circular RNAs are single-stranded covalently closed non-coding RNAs expressed in a variety of tissues and cells. Glioblastoma (GBM) is the most aggressive and lethal tumor in the central nervous system, characterized by high recurrence and mortality rates. Here we explore circRNA expression profiles in 26 primary and 3 recurrent GBM samples and compare them to healthy brain tissue. Additionally we compare expression of circRNA in GBM patients blood in comparison to healthy donor blood.

2024-06-29 | GSE196695 | GEO

Targeted transcriptome profiling of fresh paired normal and tumor tissue samples in glioblastoma patients

Project description:Glioblastoma (GBM) is the most common and aggressive primary central nervous system malignancy, with median survival of 15 months. Glioblastoma represents extraordinarily high tumor heterogeneity and alterations in genomic, transcriptomic or methylomic levels. To gain deeper insights into the molecular processes involved we studied transcriptome wide expression profiles using RNAseq of normal/tumor tissue pairs of 12 GBM patients and systematically analyzed the differentially expressed genes.

2020-05-29 | GSE151352 | GEO

Expression data from glioblastoma tissue and matched adjacent normal tissue

Project description:Glioblastoma (GBM) is the most common and lethal primary malignancy of the central nervous system in adult. In order to improve the diagnosis, prevention and treatment of GBM, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. This is a nalysis of glioblastoma tissues and matched adjacent normal brain tissues from 3 patients. Results provide insight into molecular mechanisms underlying the non-coding and coding genes interactions in glioblastoma. 3 human GBM tissues and the matched adjacent normal brain tissues were analyzed using microarray. The aberrant lncRNAs, miRNAs and mRNAs between the 2 groups were detected.

2015-02-04 | GSE65626 | GEO

INC280 Combined With Bevacizumab in Patients With Glioblastoma Multiforme

Project description:The purpose of this study is to determine whether the combination of two agents, INC280 and bevacizumab, is safe and effective when administered to patients with Glioblastoma Multiforme (GBM) who have progressed after receiving prior therapy or who have unresectable GBM.

| 2185625 | ecrin-mdr-crc

Transcriptomic analysis of glioblastoma cells bearing different IRE1a mutants

Project description:Glioblastoma multiforme is the most lethal form of glioma with an overall survival at 5 years nearly null, which mainly results from acquired resistance to therapies. Large scale sequencing studies on human cancer biopsies defined IRE1alpha as the fifth most oncogenic mutated kinase in human cancer. IRE1alpha is a major component of the Unfolded Protein Response signaling and increasing evidence suggests that it is a central player in GBM development.

2017-12-09 | GSE107859 | GEO

Genotyping of human primary glioblastoma cell lines

Project description:Genomic abnormalities that are associated with mesecnhmal phenotype of GBM were detected in glioblastoma cell lines. Experiment Overall Design: Whole genomic DNA of GBM cell lines (W-98, D431, F-502, and S-496) and the fibroblast cell line were evaluated for allelic imbalances and chromosomal copy number abnormalities by using a highdensity single-nucleotide polymorphic (SNP) array analysis (Affymetrix XbaI 131 Array).

2008-06-13 | E-GEOD-5082 | biostudies-arrayexpress

LncRNA and mRNA expression data from human glioblastoma multiforme

Project description:Glioblastoma multiforme(GBM) is the most common and lethal malignant primary brain tumor. Long non-coding RNAs (lncRNAs) are aberrantly expressed in many cancers and are involved in their cell proliferation, apoptosis, angiogenesis, and invasion. To systematically study the role of lncRNAs in GBM, we built gene expression profiles of GBM and non-tumor tissues using lncRNA and mRNA gene expression microarrays.

2020-06-30 | GSE100675 | GEO

Multi-omics profiling of paired primary and recurrent glioblastoma patient tissues

Project description:Background Despite maximal therapy with surgery, chemotherapy and radiotherapy, glioblastoma multiforme (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relate to failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multi-omics approach using transcriptomics, proteomics and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation that relates to ERBB4 signaling. A pathway tool has been developed to visualize and compare the different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxina and afatinib, that target these affected pathways. Afatinib targeting ERBB4 signaling is currently in clinical trials for GBM. Conclusions Large variation on all omics levels exist between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead a multi-omics approach can be used to identify affected pathways on the individual patient level and select potential treatment options.

2020-11-17 | PXD017952 | Pride

Transcriptomal Diversity of Long-Term Glioblastoma Survivors

Project description:Glioblastoma (GBM) is a highly aggressive type of glioma with poor prognosis. However, a small number of patients live much longer than the median survival. A better understanding of these long-term survivors (LTS) may provide important insight into the biology of GBM. We identified 7 patients with GBM treated at Memorial Sloan-Kettering Cancer Center (MSKCC) with survival greater than 48 months. We characterized the transcriptome of each patient and determined rates of MGMT promoter methylation and IDH1 and IDH2 mutational status. We identified LTS in two independent cohorts (TCGA and REMBRANDT) and analyzed the transcriptomal characteristics of these LTS. The median overall survival of our cohort was 62.5 months. LTS were distributed between the proneural (n=2), neural (n=2), classical (n=2) and mesenchymal (n=1) subtypes. Similarly, LTS in the TCGA and REMBRANDT cohorts demonstrated diverse transcriptomal subclassification identity. The majority of the MSKCC LTS (71%) were found to have methylation of the MGMT promoter. None of the patients had an IDH1 or IDH2 mutations, and IDH mutation occurred in a minority of the TCGA LTS as well. A set of 42 genes was found to be differentially expressed in the MSKCC and TCGA LTS. While IDH mutant proneural tumors impart a better prognosis in the short-term, survival beyond 4 years does not require IDH mutation and is not dictated by a single transcriptional subclass. In contrast, MGMT methylation continues to have strong prognostic value for survival beyond 4 years. These findings have substantial impact for understanding GBM biology and progression.

2014-05-02 | GSE54077 | GEO

SNP Analysis of Primary Glioblastoma Cell Lines

Project description:Genomic abnormalities that are associated with mesecnhmal phenotype of GBM were detected in glioblastoma cell lines. Keywords: SNP array analysis of glioblastome cell lines.

2006-06-16 | GSE5082 | GEO

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