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Sample GSM1063444 Query DataSets for GSM1063444
Status Public on Oct 16, 2014
Title M9P
Sample type genomic
 
Channel 1
Source name primary ccRCC
Organism Homo sapiens
Characteristics tissue: primary ccRCC
age: 60
Sex: male
site: kidney
Stage: T1bNxM0
Extracted molecule genomic DNA
Extraction protocol standard proteinase K-digestion method
Label Cy5
Label protocol Agilent Genomic DNA Labeling Kit Plus(Agilent)
 
Channel 2
Source name normal renal cortex
Organism Homo sapiens
Characteristics tissue: normal renal cortex
Sex: male
Extracted molecule genomic DNA
Extraction protocol standard proteinase K-digestion method
Label Cy3
Label protocol Agilent Genomic DNA Labeling Kit Plus(Agilent)
 
 
Hybridization protocol dissolved in hybridization buffer (Agilent Oligo aCGH Hybridization Kit; Agilent Technologies), denatured and hybridized to the CGH array at 65C for 24 h
Scan protocol A microarray was scanned using Microarray acanner (Agilrny Technologies) at a pixel resolution size of 5μm
Description normal renal cortex obtained from each patient was used as the source of control DNA
Data processing Microarray images were analyzed by using FEATURE EXTRACTION v.9.1.3.1, v.9.5.1.1 or v.9.5.3.1 (Agilent Technologies) with linear normalization (protocol CGH-v4_91 or CGH-v4_95_Feb07), and the resulting data were subsequently imported into the DNA Analytics v.4.0.81 software package (Agilent Technologies). Following normalization of the raw data, the log2ratio of Cy5 (tumor) to Cy3 (Control) was calculated. Aberrant regions were determined by the Aberration Detection Method-2 algorithm at a threshold of 6.0 in DNA Analytics. To detect gains and losses of chromosomal regions, we set the values of parameters for aberration filters as follows: minimum number of probes in region 2, minimum absolute average log2ratio for region 0.10, maximum number of aberrant regions 10000, and percentage penetrance per feature 0.
 
Submission date Jan 14, 2013
Last update date Oct 17, 2014
Contact name Takahiro Narimatsu
Organization name Oita University
Department Medicine
Lab Molecular Pathology
Street address Hasamamachi Idaigaoka 1-1
City Yufu
State/province Oita
ZIP/Postal code 8795503
Country Japan
 
Platform ID GPL8841
Series (1)
GSE43477 Genomic profiling of primary and metastatic clear cell renal cell carcinoma by array-based comparative genomic hybridization.

Data table header descriptions
ID_REF
VALUE log2 normalized ratio tumor/normal

Data table
ID_REF VALUE
A_14_P112718 -0.3155213
A_14_P201353 -0.5471892
A_14_P108353 -0.046352543
A_14_P129881 -0.2257088
A_14_P114030 0.009365466
A_14_P139527 -0.2465247
A_14_P118340 0.00850277
A_14_P106890 -0.061950773
A_14_P122641 0.011418067
A_14_P107170 -0.03448844
A_14_P100766 -0.06624791
A_14_P118104 0.075819165
A_14_P117253 -0.005982895
A_14_P129407 -0.07238856
A_14_P200001 -0.21917705
A_14_P103811 0.007811319
A_14_P119666 0.28224292
A_14_P100799 -0.024356827
A_14_P121179 -0.049772933
A_14_P115318 0.10265753

Total number of rows: 42416

Table truncated, full table size 1010 Kbytes.




Supplementary file Size Download File type/resource
GSM1063444_M9P_FEATURE_EXTRACTION_v.9.5.1.1_Protocol_CGH-v4_95_Feb07.txt.gz 4.3 Mb (ftp)(http) TXT
Processed data included within Sample table
Processed data are available on Series record

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