|
Status |
Public on Mar 21, 2012 |
Title |
MCF7 100nM DAC day3 [mRNA profiling] |
Sample type |
RNA |
|
|
Channel 1 |
Source name |
Mock Treated MCF7
|
Organism |
Homo sapiens |
Characteristics |
agent: 1x PBS cell line: MCF7 human breast cancer cell line
|
Biomaterial provider |
ATCC
|
Treatment protocol |
1x PBS for 3 days
|
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 |
100nM DAC, day3, Treated MCF7
|
Organism |
Homo sapiens |
Characteristics |
agent: 100nM DAC cell line: MCF7 human breast cancer cell line time point: day 3
|
Biomaterial provider |
ATCC
|
Treatment protocol |
100nM DAC for 3 days
|
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 |
Effect of 100nM DAC at 3 days on gene expression in MCF7 cells
|
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 |
Mar 18, 2010 |
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 |
GPL4133 |
Series (1) |
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