Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

33 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide analysis of gene expression in cancerous and normal human bladder tissues

ABSTRACT: Analysis of differential gene expression in urothelium cancer cells compared to healthy bladder cells. The goal of researh was to discover any differences in signaling pathways regulation between cancer and normal cells and searching potential molecular markers for early cancer diagnostics. Total RNA was isolated from 9 cancerous tissue samples obtained during cystectomy and 3 normal bladder tissue samples obtaind post mortem from donors without bladder cancer.

ORGANISM(S): Homo sapiens

SUBMITTER: Anastasia Zabolotneva

PROVIDER: E-GEOD-52519 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide analysis of gene expression in cancerous and normal human bladder tissues

Project description:Analysis of differential gene expression in urothelium cancer cells compared to healthy bladder cells. The goal of researh was to discover any differences in signaling pathways regulation between cancer and normal cells and searching potential molecular markers for early cancer diagnostics.

2013-11-20 | GSE52519 | GEO

Transcriptome of normal, paracancerouse and cancerous bladder tissues based on RNA-Seq method

Project description:In order to support our research of bladder cancer in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-Seq) using normal, paracancerouse and cancerous human bladder tissues. We obtained a total of 30.0 million read pairs from normal, 33.1 million read pairs from paracancerous and 36.5 million read pairs from cancerous. The RNA-Seq data derived from the sample illustrated the differencially expression genes among normal, paracancerous and cancerous bladder tissues of human. 3 samples examined: normal tissue, paracancerous tissue, cancerous tissue.

2013-01-01 | E-GEOD-35178 | biostudies-arrayexpress

Transcriptome of normal, paracancerouse and cancerous bladder tissues based on RNA-Seq method

2013-01-01 | GSE35178 | GEO

Hypermethylation of CpG Islands and Shores adjacent to mirtron and microRNA genes in bladder cancer

Project description:We examined mirtron and miR expression in bladder cancer cell line following DNA Methyltransferase inhibition and normal urothelium using human Agilent microRNA microarrays. Bladder cancer cell lines (EJ, RT4 and RT112) were treated with 5-azacytidine ''Aza'' (2uM) for 5-7 days and normal urothelium (NHU) were subjected for microRNA microarray analysis. Analysis were performed in triplicates or more.

2011-02-17 | E-GEOD-22380 | biostudies-arrayexpress

Hypermethylation of CpG Islands and Shores adjacent to mirtron and microRNA genes in bladder cancer

Project description:We examined mirtron and miR expression in bladder cancer cell line following DNA Methyltransferase inhibition and normal urothelium using human Agilent microRNA microarrays.

2011-02-17 | GSE22380 | GEO

Rat-bladder-OAB - Proteomic analysis of urothelium of rats with detrusor overactivity induced by bladder outlet obstruction

Project description:Overactive bladder (OAB) syndrome is a condition that has four symptoms: urgency, urinary frequency, nocturia, and urge incontinence and negatively affects a patient’s life. Recently, it is considered that the urinary bladder urothelium is closely linked to pathogenesis of OAB. However, the mechanisms of pathogenesis of OAB at the molecular level remain poorly understood, mainly as a result of lack of modern molecular analysis. The goal of this study is to identify a potential target protein that could act as a predictive factor for effective diagnosis and aid in the development of therapeutic strategies for the treatment of OAB syndrome. We produced OAB in a rat model and performed the first proteomic analysis on the mucosal layer (urothelium) of the bladders of normal and OAB rats.

2018-02-09 | PXD007571 | Pride

Deciphering epigenetic and transcriptional alterations after Kmt2c/2d knock-out in mouse bladder urothelial cells

Project description:KMT2C and KMT2D are two of the most frequently mutated genes in histologically normal human bladder urothelium. In this study, we sought to model Kmt2c/d LOF mutations and investigate the biological mechanism of Kmt2c/d LOF mutations in bladder cancer development.

2024-08-09 | GSE180947 | GEO

Genome-wide DNA methylation analysis of non-cancerous urothelium obtained from patients with urothelial carcinomas and corresponding cancerous tissue

Project description:The aim of this study was to establish criteria for carcinogenetic risk estimation in the urothelium. Forty-six samples of non-cancerous urothelium showing no remarkable histological findings obtained from patients with urothelial carcinomas (N), and 46 samples of the corresponding cancerous tissue (T), i.e. 92 tissue samples in total, were analyzed. Genome-wide DNA methylation analysis was performed using the Infinium HumanMethylation 450K BeadChip.

2019-08-15 | GSE111933 | GEO

Classification of carcinoma in situ lesions in human bladder cancer

Project description:The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer. Keywords: Tissue group comparisons (+-CIS)

2005-09-19 | GSE3167 | GEO

TET1 is a tumour suppressor that inhibits bladder cancer progression

Project description:Ten-Eleven Translocation 1 (TET1) is a member of methylcytosine dioxygenase, which catalyse 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC) that promote the demethylation process. The diminished expression of TET1 protein and 5-hmC in many tumors indicate a critical role for the maintenance of cell stability. However, role of TET1 in bladder cancer development remains unclear. Here we found that TET1 expression was downregulated in bladder cancer tissues compared with normal urothelium and was inversely related to patient overall survival. TET1 silencing in bladder cancer cells increase proliferation and inhibited cell migration and invasion while its re-expression inhibits their proliferation and the growth of tumor xenografts. Furthermore, we found that TET1 binds to the promoter of the TSG to maintain its hypomethylated which interacts with β-catenin and suppress its nuclear translocation, thus inhibiting β-catenin transcriptional activity and downstream genes. In conclusion, TET1 acts as a tumor suppressor gene in bladder cancer cells by suppressing β-catenin signaling. This study may facilitate efforts to therapeutic strategy for patients with bladder cancer.

2020-06-16 | GSE137646 | 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