CD34+ transriptome analysis of lower-risk MDS at risk of rapid progression
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PROVIDER: PRJEB66515 | ENA |
REPOSITORIES: ENA
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Project description:CD34+ transriptome analysis of lower-risk MDS at risk of rapid progression
| PRJNA955117 | ENA
Project description:Early, low risk IPSS (International Prognostic Scoring System) myelodysplasia (MDS) is a heterogeneous disorder where the molecular and cellular haematopoietic defects are poorly understood. To gain insight into this condition, we analyzed gene expression profiles of marrow CD34+ progenitor cells from normal karyotype, low blast count MDS patients, age-matched controls and patients with non-MDS anaemia. The aim of the study was to further understanding of the cellular defect in MDS and to identify biomarkers of disease Keywords: Disease v normal
2005-08-05 | GSE2779 | GEO
Project description:Early, low risk IPSS (International Prognostic Scoring System) myelodysplasia (MDS) is a heterogeneous disorder where the molecular and cellular haematopoietic defects are poorly understood. To gain insight into this condition, we analyzed gene expression profiles of marrow CD34+ progenitor cells from normal karyotype, low blast count MDS patients, age-matched controls and patients with non-MDS anaemia. The aim of the study was to further understanding of the cellular defect in MDS and to identify biomarkers of disease Experiment Overall Design: Bone marrow (BM) CD34 cells were purified from patients with MDS, non-MDS anemia and from normal donors. Total RNA was extracted from Tri-reagent and quality verified on by capillary electrophoresis (Agilent). RNA was amplified by the Affymetrix small sample protocol. cRNA was hybridised to Affymetrix U133A chips under standard conditions. Initial data was analysed in MAS 5.0
2007-09-20 | E-GEOD-2779 | biostudies-arrayexpress
Project description:CD34+ transriptome analysis of lower-risk MDS at risk of rapid progression - set of validation samples
| PRJNA1023700 | ENA
Project description:In order to gain insight into the poorly understood pathophysiology of the myelodysplastic syndromes (MDS), we have determined the gene expression profiles of the CD34+ cells of 55 MDS patients using the Affymetrix GeneChip U133 Plus2.0 platform Keywords: Disease v normal
2006-07-01 | GSE4619 | GEO
Project description:Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal disorders characterized variably by the presence of peripheral cytopenias, bone marrow hypercellularity and dysplastic changes in the bone marrow. While MDS patients have an increased risk of progression to acute myeloid leukemia (AML), most MDS patients actually succumb to progressive bone marrow failure. Amongst patients classified as low-risk MDS, different clinical evolutions have been observed, with some patients remaining relatively stable for long periods of time (herein, stable MDS), while others show more progressive disease, with worsening cytopenias, and often increased transfusion requirements (herein, progressive MDS). Current risk stratification strategies fail to distinguish these two groups at diagnosis. We report here that these distinct behaviors are encoded at the epigenetic level and that examining DNA methylation profiles of low-risk MDS patients captures underlying differences between the two different groups. In this study, we identified 356 differentially methylated regions (DMRs) between stable and progressive low-risk MDS at the time of diagnosis. The number of DMRs was almost doubled at the time of progression (681 follow-up DMRs), and this was accompanied by an increase in the local variability at specific methylation regions, and an increase in heterogeneity over time. These findings reveal previously unrecognized epigenetic heterogeneity in low-risk MDS patients and opens the possibility for using epigenetic differences to help improve risk-stratification at diagnosis.
2020-04-14 | GSE108247 | GEO
Project description:Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies. The patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML were treated with sequential administration of methylation inhibitor drugs (5AC and entinostat). To study gene expresion regulation in treated patients, microarray analysis was done on RNA samples extracted from CD34+ cells from 18 patients before and 15 days after treatment using Affymetrix U133Plus2.0.
2009-06-20 | GSE16625 | GEO
Project description:Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies. The patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML were treated with sequential administration of methylation inhibitor drugs (5AC and entinostat). To study gene expresion regulation in treated patients, microarray analysis was done on RNA samples extracted from CD34+ cells from 18 patients before and 15 days after treatment using Affymetrix U133Plus2.0. 18 enrolled patients were treated with sequential administration of 5AC and entinostat and microarray analysis were done on RNA samples from CD34+ cells before and 15 days after treatment using Affymetrix U133Plus2.0. One chip was used for one sample and there was no technical replicates. Twelve pairs of day 0 and day 15 specimens passed quality control for hybridization and RNA integrity. A list of differentially regulated genes was created after GC-RMA normalization by t-test paired using a 1.5 fold cut-off with p<0.005.
2009-06-20 | E-GEOD-16625 | biostudies-arrayexpress
Project description:A role for reduced ribosomal protein gene dosage in both DBA and 5q- MDS suggests that other forms of MDS might also involve altered expression of ribosomal protein genes. We used microarrays to interrogate the expression of ribosomal proteins from purified hematopoietic stems cells from patients with low risk myelodysplastic syndrome and age-matched healthy controls. Hematopoietic stem cells were sorted from 8 patients with low risk myelodysplastic syndrome and 11 age-matched healthy controls, and total RNA was hybridized to Affymetrix microarrays.
2011-08-13 | E-GEOD-30201 | biostudies-arrayexpress