Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

ABSTRACT: A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

PROVIDER: PRJNA493609 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

Project description:Our study proposes a precise mechanistic classification of clinical neuroblastoma phenotypes that is based on telomere maintenance mechanisms and RAS or p53 pathway mutations. A crucial factor in telomere maintenance is overexpression of TERT. We therefore determined a TERT expression threshold to identify MYCNWT TERTWT tumors whose TERT mRNA levels are comparable to those of tumors bearing MYCN or TERT alterations.

2018-10-25 | GSE120568 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

Project description:Our study proposes a precise mechanistic classification of clinical neuroblastoma phenotypes that is based on telomere maintenance mechanisms and RAS or p53 pathway mutations. A crucial factor in telomere maintenance is overexpression of TERT. We therefore determined a TERT expression threshold to identify MYCN-WT TERT-WT tumors whose TERT mRNA levels are comparable to those of tumors bearing MYCN or TERT alterations.

2018-10-25 | GSE120559 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:A mechanistic classification of clinical phenotypes in neuroblastoma

| PRJNA493612 | ENA

A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

Project description:A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

| PRJNA493570 | ENA

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:Clinical courses of the pediatric tumor neuroblastoma range from fatal progression to spontaneous regression. To gain insights into the pathogenesis of these divergent subtypes, we performed massively parallel sequencing of 416 pretreatment neuroblastomas and assessed telomere maintenance mechanisms in 208/416 cases. We observed that telomere maintenance and mutations in RAS or p53 pathway genes strongly affected disease courses. Fatal outcome occurred only in the presence of telomere maintenance, whereas patients whose tumors lacked such mechanisms had excellent outcome. In patients with telomere maintenance-positive tumors, survival was dramatically inferior when additional RAS/p53 pathway mutations were present. By contrast, spontaneous regression occurred both in the presence and absence of RAS/p53 pathway mutations in patients with telomere maintenance-negative tumors. Together, our data provide a precise mechanistic classification of clinical neuroblastoma phenotypes based on telomere maintenance mechanisms and genetic alterations of the tumor.

| EGAS00001003244 | EGA

Sequencing of Danio rerio skin from wildtype and two tert mutant phenotypes (JenAge)

Project description:Comparison of gene expression profiles from Danio rerio skin of wiltype (AB) and homozygote/heterozygote tert mutant phenotypes (AB tert(-/-), AB tert(+/)). The RNA-seq data comprises 3 groups. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)

2021-10-19 | GSE102434 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-10-25 | GSE120572 | GEO

PITX1 suppresses TERT transcription

Project description:Using microcell-mediated chromosome transfer (MMCT) into the mouse melanoma cell line, B16F10, we have previously found that human chromosome 5 carries a gene, or genes, that can negatively regulate TERT expression. To identify the gene responsible for the regulation of TERT transcription, we performed cDNA microarray analysis using parental B16F10 cells, telomerase negative B16F10 microcell hybrids with a human chromosome 5 (B16F10MH5), and its revertant clones (MH5R) with reactivated telomerase. Here we report the identification of PITX1, whose restoration leads to the downregulation of mouse tert (mtert) transcription, as a TERT suppressor gene. Additionally, both human TERT (hTERT) and mouse TERT (mtert) promoter activity can be suppressed by PITX1. We showed that three and one binding sites, respectively, within the hTERT and mtert promoters that express a unique conserved region are responsible for the transcriptional activation of TERT. Furthermore, we showed that PITX1 binds to the TERT promoter both in vitro and in vivo. Thus, PITX1 suppresses TERT transcription through direct binding to the TERT promoter, which ultimately regulates telomerase activity.

2010-09-10 | GSE23216 | GEO

PITX1 suppresses TERT transcription

2010-09-10 | E-GEOD-23216 | biostudies-arrayexpress

Genome-wide analysis of TERT-AD mouse cortical and hippocampal neurons upon Tert activation

Project description:Analysis of TERT-regulated global gene expression changes. The hypothesis tested in the present study was that neuronal TERT influences the regulation of gene expressions. Results provide important information of the response of in vivo mouse neurons to physiological TERT induction.

2021-10-12 | GSE163523 | 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