Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Methylation data of pediatric B-cell acute leukemias

ABSTRACT: We investigated DNA methylomes of 227 pediatric B-cell acute lymphoblastic leukemias (B-ALLs) using whole-genome bisulfite sequencing and high-definition microarrays, along with RNA expression profiles. The current study identified a link between DNA methylome of B-cell acute lymphoblastic leukemias (B-ALLs) and embryonic stem cell (ESC) bivalency, through which tumor cells can mimic the pluripotency of ESCs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE56600 | GEO | 2015/02/23

SECONDARY ACCESSION(S): PRJNA244063

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

WGBS data of pediatric B-cell acute leukemias

Project description:We investigated DNA methylomes of 227 pediatric B-cell acute lymphoblastic leukemias (B-ALLs) using whole-genome bisulfite sequencing and high-definition microarrays, along with RNA expression profiles. The current study identified a link between DNA methylome of B-cell acute lymphoblastic leukemias (B-ALLs) and embryonic stem cell (ESC) bivalency, through which tumor cells can mimic the pluripotency of ESCs.

2015-02-23 | GSE56601 | GEO

Expression data of pediatric B-cell acute leukemias

2015-02-23 | GSE56599 | GEO

Microarray-based classification of a consecutive series of 121 childhood acute leukemias

Project description:Gene expression analyses, were performed on 121 consecutive childhood leukemias (87 B-lineage acute lymphoblastic leukemias (ALLs), 11 T-cell ALLs, and 23 acute myeloid leukemias; AMLs), investigated during an 8-year period at a single center. The supervised learning algorithm k-nearest neighbor (k-NN) was utilized to build gene expression predictors that could classify the ALLs/AMLs according to clinically important subtypes with high accuracy. Validation experiments in an independent data set verified the high prediction accuracies of our classifiers. B-lineage ALLs with uncharacteristic cytogenetic aberrations or with a normal karyotype displayed heterogeneous gene expression profiles, resulting in low prediction accuracies. Minimal residual disease status (MRD) in T-cell ALLs with a high (>0.1%) MRD at day 29 could be classified with 100% accuracy already at the time of diagnosis. In pediatric leukemias with uncharacteristic cytogenetic aberrations or a normal karyotype, unsupervised analysis identified two novel subgroups: one consisting mainly of cases remaining in complete remission (CR) and one containing a few patients in CR and all but one of the patients who relapsed. This study of a consecutive series of childhood leukemias confirm and further extend previous reports demonstrating that global gene expression profiling provides a valuable tool for genetic and clinical classification of childhood leukemias. Keywords: supervised classification, Pediatric leukemia, AML, B-ALL, T-ALL, Normal bone marrow

2007-04-15 | GSE7186 | GEO

Genome-wide analysis of H3K79 dimethylation in normal and MLL-AF4 leukemic pre-B cells

Project description:We created a mouse model where conditional expression of physiologic levels of an Mll-AF4 fusion oncogene induces development of acute lymphoblastic (ALL) or acute myeloid leukemias (AML). ChIP-chip analysis demonstrated increased histone H3 Lysine 79 (H3K79) dimethylation that correlated with Mll-AF4 associated gene expression profiles in murine ALLs, and in human MLL-rearranged leukemias. In addition, human MLL-rearranged ALLs can be distinguished from other ALLs by their genome-wide H3K79 methylation profiles. Keywords: Cell type comparison

2008-11-04 | GSE12361 | GEO

Genome-wide analysis of H3K79 dimethylation in MLL-AF4 leukemic bone marrow

2008-11-04 | GSE12362 | GEO

Genome-wide analysis of H3K79 methylation in CD34+ CD19+ cells from normal marrow, MLL-rearranged or MLL-germline ALL

2008-11-04 | GSE12360 | GEO

Gene expression analysis of Early immature and Late mature T-ALL cell lines

Project description:Early immature T-cell acute lymphoblastic leukemias (T-ALLs) account for about 5-10% of pediatric T-ALLs and are associated with poor prognosis. However, the genetic defects that drive the biology of these tumors remain largely unknown. Analysis of microarray gene expression signatures in adult T-ALL demonstrated a high prevalence of early immature leukemias and revealed a close relationship between these tumors and myeloid leukemias. Consistently, adult immature T- ALLs showed characteristic mutations in myeloid specific oncogenes and tumor suppressors including IDH1, IDH2, DNMT3A, FLT3 and NRAS. Moreover, we identified ETV6 mutations as a novel genetic lesion uniquely present in immature adult T-ALL. All together, our results demonstrate that early immature adult T- ALL represents a heterogeneous category of leukemias characterized by the presence of overlapping myeloid and T-ALL characteristics and highlight the role of ETV6 mutations in these tumors.

2013-06-18 | GSE48046 | GEO

Gene expression analysis of Early immature and Late mature T-ALL cell lines

2013-06-18 | E-GEOD-48046 | biostudies-arrayexpress

Inducible PAX5 expression in a human B lymphoblastic leukemia cell line

Project description:Hypomorphic mutations of the transcription factor PAX5 occur in one third of B-progenitor acute lymphoblastic leukemias (B-ALLs). To identify PAX5-regulated genes in B-ALL, here we employ inducible expression of PAX5 in a human B-ALL cell line (REH) that harbors a loss-of-function mutation in PAX5. In this model, inducing PAX5 expression is associated with competitive disadvantage.

2014-06-18 | GSE57480 | GEO

Array-CGH screening of pediatric T-lymphoblastic leukemias (n=73)

Project description:DNA copy-number profiling of 73 T-ALLs Keywords: Genetic modification

2007-08-25 | GSE8738 | GEO