NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM1713794 Query DataSets for GSM1713794
Status Public on Jun 18, 2015
Title breast cancer_control [Patient 18]
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 18
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 9.11328078246663
ebv-miR-BART13 478.420946155804
ebv-miR-BART16 13.3120474435483
ebv-miR-BART19-3p 369.685957145837
ebv-miR-BART7 8.66068326591165
ebv-miR-BHRF1-1 9.08604873459447
hbv-miR-B20 19.1069723972488
hbv-miR-B2RC 25.5134687574849
hbv-miR-B4 12.169328366856
hcmv-miR-UL70-3p 64.0509268129113
hcmv-miR-US4 16.6026623184491
hiv1-miR-H1 25.0629193784644
hsa-let-7a 5675.14986752865
hsa-let-7b 5541.92075342099
hsa-let-7b* 10.6655518820035
hsa-let-7c 1354.79070724789
hsa-let-7d 498.112787200534
hsa-let-7d* 7.579432464996
hsa-let-7e 611.860866595826
hsa-let-7f 3344.33932622699

Total number of rows: 470

Table truncated, full table size 13 Kbytes.




Supplementary file Size Download File type/resource
GSM1713794_US10523865_253118114038_S01_miRNA_1100_Jul11_1_1.txt.gz 8.0 Mb (ftp)(http) TXT
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap