Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A Distinct Epigenetic Program Underlies the 1 7 Translocation in Myelodysplastic Syndromes (MDS)

ABSTRACT: A Distinct Epigenetic Program Underlies the 1 7 Translocation in Myelodysplastic Syndromes (MDS)

PROVIDER: PRJNA486339 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7688920.fastq.gz	Fastqsanger.gz
	SRR7688930.fastq.gz	Fastqsanger.gz
	SRR7688940.fastq.gz	Fastqsanger.gz
	SRR7688921.fastq.gz	Fastqsanger.gz
	SRR7688931.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

The National Myelodysplastic Syndromes (MDS) Study

Project description:The National Myelodysplastic Syndromes (MDS) Study

| PRJNA783119 | ENA

The National Myelodysplastic Syndromes (MDS) Study

Project description:The National Myelodysplastic Syndromes (MDS) Study

| PRJNA783118 | ENA

Oxidative stress in myelodysplastic syndromes

Project description:Control of oxidative stress in the bone marrow (BM) is key for maintaining the balance between self-renewal, proliferation, and differentiation of hematopoietic cells. Breakdown of this regulation can lead to diseases characterized by BM failure such as the myelodysplastic syndromes (MDS). To better understand the role of oxidative stress in MDS development, we compared protein carbonylation as an oxidative stress marker in BM of patients with MDS and control subjects, and also patients with MDS under treatment with the iron chelator deferasirox.

2019-10-30 | PXD013609 | Pride

NHLBI TOPMed: Genomics of Myelodysplastic Syndromes (MDS)

Project description:NHLBI TOPMed: Genomics of Myelodysplastic Syndromes (MDS)

| PRJNA703723 | ENA

NHLBI TOPMed: Genomics of Myelodysplastic Syndromes (MDS)

Project description:NHLBI TOPMed: Genomics of Myelodysplastic Syndromes (MDS)

| PRJNA703724 | ENA

Affymetrix SNP array data for myelodysplastic syndromes (MDS) samples

Project description:The progressive mechanism of myelodysplastic syndrome (MDS) remains unknown. We report that ROBO1 and ROBO2 are identified as novel progression-related somatic mutations using whole-exome and targeted sequencing in six of 16 (37.5%) paired MDS patients undergoing disease progression. To investigated the effect of ROBO1 or ROBO2 on ROBO1/2 CN number and LOH, we employed a Cytosan 750K chip to analyze the copy-number variations (CNVs) and loss of heterogeneity (LOH) in MDS patients with ROBO1&2 mutations. Copy number and LOH analysis of Affymetrix CytoScan 750K array was performed for 14 MDS patients with ROBO1 or ROBO2 mutations

2015-09-15 | E-GEOD-73005 | biostudies-arrayexpress

Gene expression profiling in myelodysplastic syndromes

2011-11-23 | GSE30195 | GEO

Gene expression profiling in myelodysplastic syndromes

Project description:Myelodysplastic syndromes (MDS) are a heterogenous group of hematopoietic stem cell disorders characterized by dysplastic blood cell formation and peripheral blood cytopenias. Up to 30% of patients with MDS will progress to a highly chemotherapy-resistant secondary acute myeloid leukemia (sAML). We identified mutations in U2AF1 in MDS patients and patients with U2AF1 mutations are at an increased risk of developing sAML. We identified mutations in U2AF1 in patients with MDS and hypothesized that U2AF1 mutations may represent a novel mechanism that could alter gene expression in MDS. To elucidate gene expression changes associated with U2AF1 mutations, we analyzed the global mRNA expression profile obtained from bone marrow CD34+ cells purified from 5 MDS patients with a U2AF1 mutation, 10 MDS patients without a mutation, and 4 normal donors.

2011-11-23 | E-GEOD-30195 | biostudies-arrayexpress

Affymetrix SNP array data for myelodysplastic syndromes (MDS) samples

2015-09-15 | GSE73005 | GEO

Affymetrix SNP array data for 5q- myelodysplastic syndromes

Project description:Myelodysplastic syndromes (MDS) are uncommon entities, heterogeneous clinically and cytogenetically. Recently, a new drug, Lenalidomide, has demonstrated to be very effective in patients with MDS and 5q- reaching 70% of hematological responses whereas patients with MDS without 5q- has only 20-30% of hematological responses. The aim of the present study is to determine genetic alteration in this subset of patients, and describe candidate genes related with response or resistance to Lenalidomide.

2014-10-07 | GSE59244 | 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