Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transient low-dose decitabine treatment of primary AML samples

ABSTRACT: Genome-wide DNA methylation profiling of primary AML samples treated with 100nM decitabine (DAC), cytarabine (AraC), or DMSO. Eight distinct AML samples were grown using an in vitro stromal co-culture system for 4 days and then treated with either DAC, Ara-C or DMSO for 3 days. DNA was prepared for genome-wide methylation analysis with the Illumina Infinium 450k Human DNA methylation BeadChip. DNA from each sample/treatment was analyzed on duplicate arrays.

ORGANISM(S): Homo sapiens

PROVIDER: GSE40870 | GEO | 2012/12/18

SECONDARY ACCESSION(S): PRJNA175142

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transient low-dose decitabine treatment of primary AML samples

Project description:Genome-wide DNA methylation profiling of primary AML samples treated with 100nM decitabine (DAC), cytarabine (AraC), or DMSO. Eight distinct AML samples were grown using an in vitro stromal co-culture system for 4 days and then treated with either DAC, Ara-C or DMSO for 3 days. DNA was prepared for genome-wide methylation analysis with the Illumina Infinium 450k Human DNA methylation BeadChip. DNA from each sample/treatment was analyzed on duplicate arrays. Bisulfite-converted DNA from 24 samples was hybridised to the Illumina Infinium 450k Human Methylation Beadchip in duplicate (replicates are indicated by array plate number).

2012-12-18 | E-GEOD-40870 | biostudies-arrayexpress

Treatment of AML patient samples with decitabine

2013-03-06 | GSE44830 | GEO

Treatment of AML patient samples with decitabine

Project description:Genome wide DNA methylation profiling of AML patient samples treated with PBS or DAC. The Illumina Infinium 450 Human DNA methylation was used to examine the methylation profile of 8 patient samples and 2 cell lines. Genome wide DNA methylation profiling of AML xenografts treated with either PBS control or with decitacine (DAC) alone, cytarabine (Ara-C) alone, DAC and Ara-C together (D+A), DAC followed by Ara-C (D/A) or with Ara-C followed by DAC (A/D). DNA was extracted from patient bone marrow samples and xenograft bone marrow samples using Qiagen Allprep kit. Bisulphite converted DNA from all samples were hybridised to the Illumina Infinium 450 Human Methylation arrays and for each analysis the drug treated sample was compared to the corresponding PBS control sample.

2013-03-06 | E-GEOD-44830 | biostudies-arrayexpress

Transcriptional profile of AML xenografts treated with either PBS or a combination of decitabine and cytarabine

Project description:The Affymetrix Human Genome U133 Plus 2.0 Array was used to examine the Genome wide transcriptional changes which follow the treatment of AML xenografts with either PBS control or combination of decitabine (DAC) and cytarabine (Ara-C). Animals were treated with PBS, DAC alone, Ara-C alone, DAC and Ara-C combined (D+A), DAC followed by Ara-C (D/A) or Ara-C followed by DAC (A/D). PBS vs each drug combination

2013-03-06 | E-GEOD-44857 | biostudies-arrayexpress

Transcriptional profile of AML xenografts treated with either PBS or a combination of decitabine and cytarabine

2013-03-06 | GSE44857 | GEO

Gene expression profiling in primary AML cells treated with decitabine and cytarabine

Project description:Acute myeloid leukemia (AML), and other myeloid malignancies, are frequently treated with hypomethylating agents like decitabine. Alterations in the epigenome, induced by decitabine, are likely to result in gene expression changes. The effects of decitabine have not been systemically studied using primary AML samples. We cultured 18 different primary AML samples for 7 days, the last 3 days of which included 100 nM decitabine (DAC) or 100 nm cytarabine (AraC). We hypothesized that decitabine treatment would result in detectable and consistent gene expression changes. For comparison, we also analyzed mRNA from cells treated with DMSO control (mock) and mRNA from uncultured cells taken at the time of diagnosis.

2012-12-18 | E-GEOD-40442 | biostudies-arrayexpress

DA Methylation patterns in decitabine treated 786-0 cells

Project description:Genome-wide DNA methylation profiling of 786-0 RCC cells treated with decitabine (100nM and 300nM) or DMSO vehicle. The Illumina Infinium HumanMethylation EPIC BeadChip was used to obtain DNA methylation profiles across approximately 850K CpGs.

2020-06-01 | GSE146179 | GEO

Gene expression signatures in ex vivo Cytarabine (Ara-C) and Daunorubicin (Dnr) sensitive AML samples

Project description:Wide inter-individual variation in terms of outcome and toxic side effects of treatment exist among patients with AML receiving chemotherapy with cytarabine (Ara-C) and daunorubicin (Dnr). Drug resistance and relapse are considered major causes of treatment failure. Gene expression profiling was undertaken to address possible mechanisms of Ara-C/Dnr resistance. Based on ex vivo Ara-C cytotoxicity at diagnosis, Ara-C sensitive (IC50 <3uM AraC) and Dnr sensitive samples (IC50 < 0.5 uM) (5 samples each) were included for microarray analysis. These were compared with the samples which were drug resistant ex vivo at diagnosis. Our microarray experiment resulted in indentifying differentially expressed genes under ex vivo Ara-C sensitive as well as Dnr sensitive samples compared to ex vivo Drug resistant samples.

2016-01-02 | GSE52919 | GEO

Gene expression signatures in ex vivo Cytarabine (Ara-C) and Daunorubicin (Dnr) sensitive AML samples

2016-07-04 | E-GEOD-52919 | biostudies-arrayexpress

RNA-Seq analysis of HL-60 AML cells resistant to daunorubicin or cytarabine

Project description:The Acute Myeloid Leukemia cell line HL-60 was rendered resistant to daunorubicin (DNR) or cytarabine (Ara-C) by continuous exposure to the drug up to concentrations of 30nM for DNR and 100nM for Ara-C. Transcriptomic analysis were then performed by RNA-Seq to compare the cell lines

2022-01-08 | GSE193094 | 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