Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The Dutch retinoblastoma research team from the VU University medical center

ABSTRACT: Data Access Committee EGAC00001000431

PROVIDER: EGAC00001000431 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Publications

A Meta-Analysis of Retinoblastoma Copy Numbers Refines the List of Possible Driver Genes Involved in Tumor Progression.

Kooi Irsan E IE Mol Berber M BM Massink Maarten P G MP de Jong Marcus C MC de Graaf Pim P van der Valk Paul P Meijers-Heijboer Hanne H Kaspers Gertjan J L GJ Moll Annette C AC Te Riele Hein H Cloos Jacqueline J Dorsman Josephine C JC

PloS one 20160426 4

<h4>Background</h4>While RB1 loss initiates retinoblastoma development, additional somatic copy number alterations (SCNAs) can drive tumor progression. Although SCNAs have been identified with good concordance between studies at a cytoband resolution, accurate identification of single genes for all recurrent SCNAs is still challenging. This study presents a comprehensive meta-analysis of genome-wide SCNAs integrated with gene expression profiling data, narrowing down the list of plausible retino ...[more]

PMID: 27115612

Publication: 1/2

Similar Datasets

Columbia University Irving Medical Center RNASeq of meningioma tumors

Project description:We use a Master Regular-based precision cancer medicine framework to predict drug sensitivity to tumors.

2022-09-06 | GSE212377 | GEO

Radboud University Medical Centre FSHD Clinical Team

Project description:Data Access Committee EGAC00001003305

| EGAC00001003305 | EGA

Leiden University Medical Center Adipose tissue RNA-seq

Project description:Data Access Committee EGAC00001000503

| EGAC00001000503 | EGA

Joint Addiction, Aging, and Mental Health Data Access Committee General Research Use Datasets

Project description:Joint Addiction, Aging, and Mental Health Data Access Committee General Research Use Datasets

| PRJNA934661 | ENA

Joint Addiction, Aging, and Mental Health Data Access Committee General Research Use Datasets

Project description:Joint Addiction, Aging, and Mental Health Data Access Committee General Research Use Datasets

| PRJNA934662 | ENA

Department of Clinical Genetics of Maastricht University Medical Center

Project description:Data Access Committee EGAC00001002259

| EGAC00001002259 | EGA

The emergence of enterovirus D68 in a Dutch University Medical Center and the necessity for routinely screening for respiratory viruses.

Project description:BackgroundSince August 2014, an increase in infections caused by enterovirus D68 (EV-D68) was reported in the USA and Canada, for the most part in children presenting with severe respiratory symptoms.ObjectivesTo determine whether an increase in severe EV-D68 respiratory infections was observed in our region.Study designSamples from patients with respiratory symptoms were screened for viral pathogens, including rhinovirus and enterovirus. Subsequently, samples positive for rhinovirus and enterovirus were routinely sequenced for phylogenetic analysis. Furthermore, an additional method was used to detect EV-D68 specifically.ResultsDuring the first three quarters of the year 2014, 1896 respiratory samples were analyzed; 39 (2%) of them tested positive for enterovirus. Eighteen samples tested positive for EV-D68, obtained from 16 different patients admitted to our hospital. Eleven were children below the age of 18, of whom five children needed intensive care treatment. The remaining five samples were from adults, who all had an underlying disease; three were transplant patients (heart, lung and renal transplantation), the other two had an underlying lung condition (COPD, asthma). Phylogenetic analysis showed a close relationship with the strains circulating currently in the USA, all belonging to the known EV-D68 genetic subtypes.ConclusionsWe observed an increase of EV-D68 infections in our population, both in children as well as in adult. In 2014 there have been 16 cases so far, compared to none in 2011 and 2013 and a single case in 2012. Phylogenetic analysis identified two similar clusters as shown in the USA and Canada.

| S-EPMC7185662 | biostudies-literature

cSCC research Team

Project description:Data Access Committee EGAC00001002743

| EGAC00001002743 | EGA

Center for Medical Genetics

Project description:Data Access Committee EGAC00001001466

| EGAC00001001466 | EGA

Research management team (RMT): a model for research support services at Duke University.

Project description:Collecting and managing data for clinical and translational research presents significant challenges for clinical and translational researchers, many of whom lack needed access to data management expertise, methods, and tools. At many institutions, funding constraints result in differential levels of research informatics support among investigators. In addition, the lack of widely shared models and ontologies for clinical research informatics and health information technology hampers the accurate assessment of investigators' needs and complicates the efficient allocation of crucial resources for research projects, ultimately affecting the quality and reliability of research. In this paper, we present a model for providing flexible, cost-efficient institutional support for clinical and translational research data management and informatics, the research management team, and describe our initial experiences with deploying this model at our institution.

| S-EPMC3531876 | biostudies-literature

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