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Sample GSM1713790 Query DataSets for GSM1713790
Status Public on Jun 18, 2015
Title breast cancer_control [Patient 14]
Sample type RNA
 
Source name patients without local relapse after breast conserving therapy in early stage breast cancer
Organism Homo sapiens
Characteristics patient id: Patient 14
gender: female
tissue type: primary tumor
sample type: FFPE material
Treatment protocol breast cancer tissue from surgical procedure
Extracted molecule total RNA
Extraction protocol slices from FFPE samples were sent to the comprehensive biomarker center (cbc™) in Heidelberg, RNA was extracted according to cbc standard procedures
Label Cy3
Label protocol 100 ng total RNA input per array, for labeling Agilent's microRNA Complete labeling and Hybridization Kit was used; the protocol followed cbc™ standard procedures
 
Hybridization protocol hybridization time was 20h at 55° with 20rpm following cbc™ standard procedures
Scan protocol Scanning and image acquisition followed cbc™ standard procedures; Scanner: Latest High-Resolution Microarray Scanner GS2505_C
Data processing The scanned images were analyzed with the latest Agilent Feature Extraction software (10.7.3.1) according to cbc™ standard procedures. To detect outliers in the samples, Hampel's rule was applied. For this purpose all correlation coefficients were transformed using the Fisher transformation and then applied the robust test for detecting outliers. The RMA (robust multi-arra average) was used for normalization.
The RMA algorithm calculates an own background, normalizes by quantile and summarizes the data. The first step is a background correction by fitting a normal and exponential convolution model to the vector of observed intensities. The normal part represents the background, the exponential part represents the signal intensities. After background subtraction the arrays are normalized by quantile across a set of hybridizations at the probe level. Finally an estimate of the microRNA gene signal is obtained by fitting a linear model to log 2 transformed intensities. This procedure was carried out by cbcT.
 
Submission date Jun 17, 2015
Last update date Jun 18, 2015
Contact name Franz Zehentmayr
E-mail(s) f.zehentmayr@salk.at
Organization name RadArt
Street address Müllner Hauptstraße
City Salzburg
ZIP/Postal code 5020
Country Austria
 
Platform ID GPL16770
Series (1)
GSE69951 Hsa-miR-375 in early breast cancer

Data table header descriptions
ID_REF
VALUE normalize signal intensity according to RMA

Data table
ID_REF VALUE
ebv-miR-BART12 10.3212754782179
ebv-miR-BART13 387.500755939708
ebv-miR-BART16 14.8495148077568
ebv-miR-BART19-3p 114.656492236369
ebv-miR-BART7 8.18641999955121
ebv-miR-BHRF1-1 12.520787890929
hbv-miR-B20 15.7777311535806
hbv-miR-B2RC 23.6178167644964
hbv-miR-B4 17.182464466192
hcmv-miR-UL70-3p 125.64053299382
hcmv-miR-US4 18.4123455130428
hiv1-miR-H1 31.5353069598611
hsa-let-7a 4009.50093689555
hsa-let-7b 4329.13893150495
hsa-let-7b* 14.6170959833194
hsa-let-7c 987.362409844062
hsa-let-7d 337.451064351525
hsa-let-7d* 8.16029514897077
hsa-let-7e 124.188085776886
hsa-let-7f 2039.07910376106

Total number of rows: 470

Table truncated, full table size 13 Kbytes.




Supplementary file Size Download File type/resource
GSM1713790_US10523865_253118114037_S01_miRNA_1100_Jul11_2_1.txt.gz 7.9 Mb (ftp)(http) TXT
Processed data included within Sample table

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