Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deep Multilayer Brain Omics Identifies Molecular Networks in Glioma’s Disease Progression

ABSTRACT: Risk of high grade gliomas is lower in young females and its incidence enhances after menopause suggesting likely protective roles of female hormones. Little is known about risk factors for adult glioma. Menopause hormone changes have received some attention as a possible risk factor.

ORGANISM(S): Mus Musculus

SUBMITTER: Hongmei Wang

PROVIDER: PXD030195 | iProX | Wed Dec 01 00:00:00 GMT 2021

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Publications

Deep multilayer brain omics identifies the potential involvement of menopause molecular networks in Gliomas' disease progression.

Liu Chunhua C Zhang Wei W Xu Guozheng G Zhang Daolai D Zhang Cheng C Qiao Sen S Wang Zhimei Z Wang Hongmei H

FASEB journal : official publication of the Federation of American Societies for Experimental Biology 20221001 10

The risk of high-grade gliomas is lower in young females, however, its incidence enhances after menopause, suggesting potential protective roles of female sex hormones. Hormone oscillations after menopause have received attention as a possible risk factor. Little is known about risk factors for adult gliomas. We examined the association of the aging brain after menopause, determining the risk of gliomas with proteomics and the MALDI-MSI experiment. Menopause caused low neurotransmitter levels su ...[more]

PMID: 36165217

Similar Datasets

Comparative genomic hybridization of high grade gliomas arising in children and young people

Project description:As genome-scale technologies begin to unravel the complexity of the equivalent tumours in adults, detailed characterisation of high grade gliomas in children have until recently been lacking. In order to validate and extend investigations of the differences between paediatric and adult tumours, we carried out copy number profiling by array CGH using a 32K BAC platform on 63 formalin-fixed paraffin-embedded (FFPE) cases of high grade glioma arising in children and young people (<23 yrs).

2010-07-01 | E-TABM-857 | biostudies-arrayexpress

Age-associated increase in aneuploidy and changes in gene expression in mouse eggs.

Project description:An increase in the incidence of aneuploidy is well documented with increasing maternal age, in particular in human females. Remarkably, little is known regarding the underlying molecular basis for the age-associated increase in aneuploidy, which is a major source of decreased fertility in humans. Using mouse as a model system we find that eggs obtained from old mice (60-70 weeks of age) display a 6-fold increase in the incidence of hyperploidy as assessed by chromosome spreads. Expression profiling of transcripts in oocytes and eggs obtained from young and old mice reveals that approximately 5% of the transcripts are differentially expressed in oocytes obtained from old females when compared to oocytes obtained from young females (6-12 weeks of age) and that this fraction increases to approximately 33% in eggs. The latter finding indicates that the normal pattern of degradation of maternal mRNAs that occurs during oocyte maturation is dramatically altered in eggs obtained from old mice and could therefore be a contributing source to the decline in fertility. Analysis of the differentially expressed transcripts also indicated that the strength of the spindle assembly checkpoint is weakened and that higher errors of microtubule-kinetochore interactions constitute part of molecular basis for the age-associated increase in aneuploidy in females. Last, BRCA1 expression is reduced in oocytes obtained from old females and RNAi-mediated reduction of BRCA1 in oocytes obtained from young females results in perturbing spindle formation and chromosome congression following maturation

2008-06-07 | GSE11667 | GEO

Epigenome analysis of human brain gliomas (part 1)

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.

2013-12-12 | GSE53227 | GEO

Affymetrix SNP array data for NF1-associated glioma risk

Project description:We performed whole genome SNP profiling on DNA samples from 236 patients with NF1, 123 with glimoa tumors and 113 without; 117 females and 119 males, together with 29 control samples. To identify polymorphisms in human adenylate cyclase 8 (AC8) which correlate with glioma risk in NF1 in a sex-specific manner, Ac8 SNP were extracted and further analyzed for their sex-specific NF1-associated glioma risk. Three SNPs on ADCY8 were found signficant while other SNPs on CXCR7 and ADCYAP1 were promising.

2015-02-20 | GSE62215 | GEO

Transcription profiling of mouse oocytes to investigate age-associated increase in aneuploidy and changes in gene expression.

2008-06-18 | E-GEOD-11667 | biostudies-arrayexpress

Epigenome analysis of human brain gliomas (part 1)

2013-12-12 | E-GEOD-53227 | biostudies-arrayexpress

DNA methylation array analysis of high-grade gliomas with pleomorphic and pseudopapillary features

Project description:Genomewide DNA methylation array profiling of 23 previously unpublished CNS tumors resolved into a new entity, high-grade glioma with pleomorphic and pseudopapillary features (HPAP). Tumors demonstrate a variety of histologic diagnoses including glioblastoma (GBM), pleomorphic xanthoastrocytoma (PXA), anaplastic ependymoma, and polymorphous low-grade neuroepithelial tumor of the young (PLNTY). The Illumina Infinium EPIC 850k Human DNA Methylation Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpG sites of genomic DNA extracted from formalin-fixed, paraffin-embedded tumor tissue.

2022-02-04 | GSE195567 | GEO

Project description:Low Grade Glioma Sequencing

| PRJNA821547 | ENA

The plasma miRnome and venous thromboembolism in high-grade glioma: miRNA sequencing of a nested case-control cohort

Project description:Background: Patients with high-grade gliomas are at high risk of venous thromboembolism (VTE). MicroRNAs (miRNAs) are small non-coding RNAs with multiple roles in tumor biology, hemostasis and platelet function. We aimed to explore the association between plasma miRNAs and risk of VTE in high-grade glioma. Results: We conducted a nested-case control study within 152 patients with WHO grade IV glioma that had been included in the Vienna Cancer and Thrombosis Study (CATS), a prospective cohort study focused on risk factors for VTE in newly diagnosed or recurrent cancer. At study inclusion a single blood draw was taken, and patients were thereafter followed for a maximum of two years. During that time, 24 patients (16%) developed VTE. Of the other 128 patients, we randomly selected 24 age- and sex-matched controls. After sample quality control, the final group size was 21 VTE-patients and 23 without VTE. Small RNA next-generation sequencing of plasma was performed. We observed that hsa-miR-451a was globally the most abundant miRNA. Notably, 51% of all miRNAs showed a correlation with platelet count. The analysis of miRNAs differentially regulated in VTE patients – with and without platelet adjustment – identified potential VTE biomarker candidates such as has-miR- 221-3p. Conclusion: We here provide one of the largest and deepest peripheral blood miRNA datasets of high-grade glioma patients so far. Further, we confirm previous observations of a considerable impact of platelet count on the blood miRNome. And, finally, we present first VTE biomarker candidates that can serve as the starting point for future confirmatory research.

2023-12-31 | GSE222666 | GEO

Whole genome gene microarray for diffuse gliomas

Project description:We used whole genome microarray expression profiling as a discovery platform to identify high grade diffuse glioma associated differently expressed genes comparing with low grade diffuse glioma.

2021-03-01 | GSE106784 | GEO

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