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Sample GSM843859 Query DataSets for GSM843859
Status Public on Mar 21, 2012
Title DAC Treated Kasumi CD34+ [mRNA profiling]
Sample type RNA
 
Channel 1
Source name Mock treated Kasumi-1 CD34+ cells
Organism Homo sapiens
Characteristics treatment: 1XPBS for 72 hours
cell type: Leukemia Cell Line
cell line: Kasumi CD34+
Treatment protocol 10nM DAC for 72 hours
Growth protocol McCoy's 5A medium with 10% BCS and 1x PBS
Extracted molecule total RNA
Extraction protocol TriZol extraction followed by RNeasy kit (Qiagen) clean-up with on-column DNase treatment
Label Cy3
Label protocol Agilent low RNA input linear amplification kit
 
Channel 2
Source name DAC treated Kasumi-1 CD34+ cells
Organism Homo sapiens
Characteristics treatment: 10nM DAC
cell type: Leukemia Cell Line
cell line: Kasumi CD34+
Treatment protocol 10nM DAC for 72 hours
Growth protocol McCoy's 5A medium with 10% BCS and 1x PBS
Extracted molecule total RNA
Extraction protocol TriZol extraction followed by RNeasy kit (Qiagen) clean-up with on-column DNase treatment
Label Cy5
Label protocol Agilent low RNA input linear amplification kit
 
 
Hybridization protocol Samples were amplified and labeled using Quick Amp Labeling Kit (Cat# 5190-0447, Agilent Technologies), Full Spectrum Primers (Cat# RA300A-2, System Bioscience), Cynine-3-CTP and Cynine-5-CTP (Perkin Elmer), and hybridized using Gene Expression Hybridization Kit by following manufacturer's protocol (G4140-90050, Agilent Technologies)
Scan protocol Microarrays were scanned with Agilent G2565BA microarray scanner under default settings recommended by Agilent Technologies for gene expression microarrays with 100% PMT and 5 micrometer resolutions. Data were extracted using Feature Extraction Software v9.5.3.1 (Agilent Technologies) and protocol for gene expression microarrays.
Description Characterization of gene expression changes after treatment with the DNA methylation inhibitor DAC
Data processing Log ratio of red signal to green signal was calculated after loess normalization as implemented in the Limma package from Bioconductor
 
Submission date Dec 06, 2011
Last update date Mar 21, 2012
Contact name Leander Van Neste
Organization name Ghent University
Department Molecular Biotechnology
Lab Bioinformatics and Computational Genomics
Street address Coupure Links 653
City Ghent
ZIP/Postal code 9000
Country Belgium
 
Platform ID GPL6480
Series (1)
GSE20945 Effects of DAC treatment

Data table header descriptions
ID_REF
VALUE loess normalized log2 ratio of DAC treatment over mock treatment

Data table
ID_REF VALUE
A_23_P100001 0.175574526
A_23_P100011 -0.363180268
A_23_P100022 0.266473025
A_23_P100056 -0.082242416
A_23_P100074 -0.053692427
A_23_P100092 0.010692834
A_23_P100103 -0.209654563
A_23_P100111 0.078788352
A_23_P100127 -0.377958011
A_23_P100133 -0.005328918
A_23_P100141 -0.149246597
A_23_P100156 0.090643751
A_23_P100177 0.267631069
A_23_P100189 0.000592234
A_23_P100196 -0.509523973
A_23_P100203 -0.31596781
A_23_P100220 0.118891835
A_23_P100240 -0.023610102
A_23_P10025 -0.209155191
A_23_P100263 0.347419163

Total number of rows: 41000

Table truncated, full table size 1003 Kbytes.




Supplementary file Size Download File type/resource
GSM843859_jhu_251485070596_S01_GE2_107_Sep09_1_1_CD34_+Mock-Cy3_CD34_+DAC-Cy5.txt.gz 11.2 Mb (ftp)(http) TXT
Processed data included within Sample table

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