Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing from small sizes of paired normal and glioblastoma patient tissues

ABSTRACT: Although multi-omics studies of glioblastoma (GBM) have improved understanding of its biology nature and accelerated targeted therapy, data for paired adjacent normal tissues remains limited. Here, we report transcriptomes from 2 paired and 1 non-paired tumor and adjacent normal tissues (NAT) of glioblastoma (GBM) patients sequenced using Illumina Novaseq platform, and 150 bp paired-end reads were generated. This dataset provides a resource of paired GBM and normal tissues to identify novel tumor-specific oncogenes or tumor-suppressor genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE184643 | GEO | 2023/10/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Proteomes from small sizes of paired normal and glioblastoma patient tissues

Project description:Although multi-omics studies of glioblastoma (GBM) have improved understanding of its biology nature and accelerated targeted therapy, data for paired adjacent normal tissues (NAT) remains limited. Here, we report proteomes from 3 paired of tumor tissues and NATs of glioblastoma (GBM) patients using liquid chromatography with tandem mass spectrometry (LC-MS/MS)-based label-free quantification. This dataset provides a resource of paired GBM and normal tissues to identify novel tumor-specific oncogenes or tumor-suppressor genes.

2021-09-24 | PXD028730 | iProX

Proteomic profiling of paired primary and recurrent GBM patient samples

Project description:Formalin fixed paraffin embedded (FFPE) primary-recurrent Glioblastoma (pGBM-rGBM) matched patient samples and normal tissue adjacent to tumor (NAT) were analyzed by shotgun DDA proteomics. The proteomic profiles of pGBM-rGBM pairs revealed differentially expressed proteins in rGBM samples, which in future could be used for potential therapeutic interventions.

2021-08-06 | MSV000087947 | MassIVE

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

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

glioblastoma(GBM) tissues: Tumor tissues(C) vs. Normal tissues(N)

Project description:glioblastoma(GBM) tissues: Tumor tissues(C) vs. Normal tissues(N)

| PRJNA431408 | ENA

Differential expressed miRNAs between tumor tissues and adjecent normal tissues from a patient with glioblastoma

Project description:Glioblastoma is the most aggressive and lethal malignant brain tumor. miRNA expression profiling could be useful in improving the classification of tumors and predicting their behavior. In this study, the miRNA expression patterns in glioblastoma tumor tissues and adjacent normal tissues were identified through expression profiling of a patient with glioblastoma. The results will hopefully enhance our understandings of the epigentic changes in glioblastoma progression and provide candidates for miRNAs-based targeting tharapy. A paired miRNAs tumor tissues and adjacent tissues of a glioblastoma patient was used in this study. miRNAs were isolated using miRNeasy FFPE Kit (Qiagen). Profiling was established by applying the Agilent human miRNA Microarray (8 M-CM-^W 60K, v16.0) (Agilent Technologies).

2014-09-17 | E-GEOD-61445 | biostudies-arrayexpress

Differential gene methylation in paired glioblastomas suggests a role of microenvironment in tumor progression

Project description:We sought to analyze DNA methylation levels in paired (initial and recurrence) primary glioblastoma samples to identify candidate pathways that may prone to glioblastoma progression. This study investigates the dynamics of methylation in paired primary GBM.

2015-08-10 | E-MTAB-3476 | biostudies-arrayexpress

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

Gene expression data for tumor and paired adjacent normal tissues from colorectal cancer patients

Project description:Gene expression data for tumor and paired adjacent normal tissues from colorectal cancer patients

| PRJNA657579 | ENA

Gene Expression of Malignant Pleural Mesothelioma Tumor and paired Normal Lung tissue

Project description:In order to discover critical pathways /networks or therapeutic targets in pleural mesothelioma we profiled 55 tumors along with paired normal tissue (for 41 tumors) using Affymetrix U133 plus 2.0 chips RNA isolated from frozen resected tumor and normal tissues was hybridized to Affymetrix U133 plus 2.0 chips to discover genes upregulated/downregulated in mesothelioma tumors compared to paired normal non-tumor adjacent tissue as well as find differences between the different tumors

2014-08-31 | E-GEOD-51024 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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