Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microarray profiling analysis of microRNAs expression in glioblastoma cells

ABSTRACT: Microarray profiling analysis of microRNAs expression in glioblastoma cells

PROVIDER: PRJNA625711 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Microarray profiling analysis of microRNAs expression in Hypertrophic scar

Project description:Microarray profiling analysis of microRNAs expression in Hypertrophic scar

| PRJNA781618 | ENA

Microarray profiling analysis of microRNAs expression in diabetes samples

Project description:Microarray profiling analysis of microRNAs expression in diabetes samples

| PRJNA780905 | ENA

Microarray profiling analysis of microRNAs expression in glioblastoma cells

Project description:Although growing evidence has revealed that ZEB2 was correlated with grades and outcome of glioma positively, the mechanisms underlying ZEB2/miRNAs-mediated gliomas development remain largely unknown. Here the authors revealed that ZEB2 raised in glioblastoma samples compared to the lower-grade gliomas. Besides, miR-637 increased to the most extent per the miRNA array analysis of cells with- or without ZEB2. ZEB2 captured the promoter of miR-637 directly and suppressed miR-637 transcription. In the absence of ZEB2, overexpressed miR-637 targeted WNT7A and repressed the WNT/β-Catenin signaling pathways subsequently, which inhibited the expression of Cyclin D1 and Vimentin. Importantly, the combination of β-Catenin-specific inhibitor LGK974 and temozolomide hampered cell proliferation synergistically in cells expressing miR-637. In line with the expectation, the inhibition of miR-637 counteracted sh-ZEB2-caused tumor regression in U251 xenograft models. The current study evaluated a novel mechanism that the association of ZEB2/miR-637/WNT7A contributed to regulate glioblastoma cell proliferation and migration in a β-Catenin-dependent manner. The results may provide new rationales to optimize the trial designs, which try to select the ideal glioblastoma patients to receive β-Catenin-targeted therapy and chemotherapy.

2020-04-17 | GSE148779 | GEO

MicroRNA profiling of human glioblastoma cell lines and tissue samples identifies microRNAs whose expression is altered in glioblastoma multiforme

Project description:MicroRNAs are short non-coding RNA molecules playing regulatory roles in animals and plants by repressing translation or cleaving RNA transcripts. The specific modulation of several microRNAs has been recently associated to some forms of human cancer, suggesting that these short molecules can represent a new class of genes involved in oncogenesis. In our study, we examined by microarray the global expression levels of 245 microRNAs in glioblastoma multiforme (GBM), the most frequent and malignant of primary brain tumors. The analysis of both glioblastoma tissues and glioblastoma cell lines allowed us to identify a group of microRNAs whose expression is significantly altered in this tumor. The most interesting results came from miR-221, strongly upregulated in glioblastoma and a set of brain-enriched miRNAs, miR-128, miR-181a, miR-181b, miR-181c, which are down-regulated in glioblastoma.

2005-09-23 | E-TABM-37 | biostudies-arrayexpress

microRNA expression profiling in human brain glioblastoma

Project description:The expression profiling of a total of 2085 microRNAs in 5 glioblastoma and 5 normal brain cases, which had been consecutively operated on within a defined short period of time

2018-08-31 | GSE103228 | GEO

Microarray profiling analysis of microRNAs expression in NFATc3-overexpressed human monocyte-derived macrophages (HMDMs)

Project description:Microarray profiling analysis of microRNAs expression in NFATc3-overexpressed human monocyte-derived macrophages (HMDMs)

| PRJNA682374 | ENA

MicroRNAs and mRNAs differentially expressed in 5 glioblastoma spheroid cultures upon ATRA treatment

Project description:Microarray-based gene expression analysis identified microRNAs and mRNAs differentially expressed in 5 glioblastoma spheroid cultures upon ATRA treatment.

2010-07-20 | GSE17227 | GEO

MicroRNAs and mRNAs differentially expressed in 5 glioblastoma spheroid cultures upon ATRA treatment

Project description:Microarray-based gene expression analysis identified microRNAs and mRNAs differentially expressed in 5 glioblastoma spheroid cultures upon ATRA treatment. In this study, a set of 5 glioblastoma spheroid cultures was used to acquire microRNA expression profiles, leading to the identification of differentially expressed microRNAs between untreated and ATRA-treated cultures. In this study, a set of 5 glioblastoma spheroid cultures was used to acquire expression profiles of a total of 16,651 transcripts, leading to the identification of differentially expressed genes between untreated and ATRA-treated cultures by Significance Analysis of Microarray data.

2010-07-20 | E-GEOD-17227 | biostudies-arrayexpress

Microarray profiling of total testicular microRNAs in mouse

Project description:Gene expression in mammalian testis undergoing spermatogenesis is under strict post transcriptional regulation and microRNAs are known to play a role in this regulation. Considering the time window of first wave of spermatogenesis, we did a microarray profiling of total testicular microRNAs in mouse and found several significant patterns of variable expression of these molecules during the different stages analyzed here.

2014-10-01 | GSE41857 | GEO

HIPO016 - glioblastoma tumour methylation microarray profiling

Project description:Methylation microarray profiling (Illumina Human Methylation 450k and EPIC platforms) of 60 adult glioblastomas. Tumours were subtyped using the approach from Sturm et al. (https://doi.org/10.1016/j.ccr.2012.08.024): 12 IDH, 18 MES, 12 RTK I, 18 RTK II. DNA was prepared, assayed on the microarrays, and raw data computationally processed as described in Capper et al., "DNA methylation-based classification of central nervous system tumours": https://www.nature.com/articles/nature26000

| EGAD00010001797 | EGA

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