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Sample GSM267836 Query DataSets for GSM267836
Status Public on Sep 23, 2009
Title colorectal cancer DNA hypermethylome: DAC vs mock in COLO320
Sample type RNA
 
Channel 1
Source name Mock treated COLO 320 cells
Organism Homo sapiens
Characteristics COLO 320 human colorectal cancer cell line
Biomaterial provider ATCC
Treatment protocol 1x PBS for 96 hours
Growth protocol McCoy's 5A medium with 10% BCS and 1x P/S
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 5-AZA treated COLO 320 cells
Organism Homo sapiens
Characteristics COLO 320 human colorectal cancer cell line treated with 5-AZA
Biomaterial provider ATCC
Treatment protocol 5 micromolar 5-AZA for 96 hours
Growth protocol McCoy's 5A medium with 10% BCS and 1x P/S
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 Agilent Gene Expression Hybridization Kit using manufacturer's protocol (G4140-90050)
Scan protocol Microarrays are scanned with Agilent G2565BA microarray scanner under default settings recommended by Agilent Technologies for expression microarrays. with 100% PMT and 10 micrometer resolutions. Data are extracted using Feature Extraction Software v8.1 (Agilent Technologies) under default settings for expression microarrays.
Description Identification of the colorectal cancer DNA hypermethylome revealed by gene expression profiling: DAC vs mock in COLO320
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 Feb 25, 2008
Last update date Sep 25, 2008
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 GPL1708
Series (1)
GSE10613 Convergence of Mutation and Epigenetic Alterations Identifies Common Target Genes in Breast and Colon Cancer

Data table header descriptions
ID_REF
VALUE Normalized log ratio data: log2(CH2/CH1)
CH1_SIG_MEDIAN Median spot value of channel 1
CH1_BKD_MEDIAN Background median spot value of channel 1
CH2_SIG_MEDIAN Median spot value of channel 2
CH2_BKD_MEDIAN Background median spot value of channel 2

Data table
ID_REF VALUE CH1_SIG_MEDIAN CH1_BKD_MEDIAN CH2_SIG_MEDIAN CH2_BKD_MEDIAN
1 0.140022512691505 83.5 42 63 49
2 0.119413288634855 78 42 57.5 48
3 -0.268162950208095 139 42 86 48
4 0.0546670245528573 101.5 42 75.5 49
5 0.302040450834629 121.5 42 112.5 48
6 0.118239878894895 1164 42 1131 49
7 0.0975575724523372 81 42 59 48
8 0.0741234762580285 81 43 58 48
9 0.0882660258057908 87.5 43 64 48
10 0.494717386377921 100 43 104 48
11 0.265796428008175 147 42 135 48
12 0.103394244011440 681.5 42 641 48
13 0.107440625241087 78 43 57 49
14 0.0697672728058901 82.5 42 59 49
15 0.0190436304287691 84 42 58 49
16 0.111277592718056 81.5 42 60 49
17 0.170509122120954 154.5 42 133 49
18 0.0815335280228305 112 42 87 49
19 0.341550286488340 529 42 580 48
20 0.144710660992474 335 42 305 48

Total number of rows: 44290

Table truncated, full table size 1683 Kbytes.




Supplementary file Size Download File type/resource
GSM267836.txt.gz 11.7 Mb (ftp)(http) TXT
Processed data included within Sample table

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