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Status |
Public on Jun 14, 2010 |
Title |
UC_0301_1_Hv3_35k_h1 |
Sample type |
RNA |
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Channel 1 |
Source name |
Urinary bladder tumor UC_0301_1
|
Organism |
Homo sapiens |
Characteristics |
sample histology: Urothelial carcinoma tumor stage: T1 tumor grade: G3 dead of disease: NO follow up time (months): 36.7 tat1 progress^to minv/cystectomy/dead: NO
|
Extracted molecule |
total RNA |
Extraction protocol |
Tissue homogenization and RNA recovery using TRIzol reagent (Invitrogen), followed by purification of total RNA using RNeasy kit (Qiagen).
|
Label |
Cy3
|
Label protocol |
Labeling of 5 micrograms of sample RNA was performed using the Pronto Plus System (Promega)
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|
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Channel 2 |
Source name |
Stratagene Universal Human Reference
|
Organism |
Homo sapiens |
Characteristics |
reference: RNA pooled from ten human cell lines
|
Extracted molecule |
total RNA |
Extraction protocol |
Tissue homogenization and RNA recovery using TRIzol reagent (Invitrogen), followed by purification of total RNA using RNeasy kit (Qiagen).
|
Label |
Cy5
|
Label protocol |
Labeling of 5 micrograms of sample RNA was performed using the Pronto Plus System (Promega)
|
|
|
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Hybridization protocol |
Samples were dissolved in 42 microliter Universal Hybridization Solution (Corning) and hybridizations were carried out in a CMT-Hybridization Chamber (Corning) for 18 h at 42°C. Pre-hybridization of slides and post-hybridization washes were performed using the Pronto Plus System (Promega)
|
Scan protocol |
Fluorescence was recorded using an Agilent G2565AA microarray scanner (Agilent Technologies). Image analysis on scanned arrays was performed with GenePix 4.0 (Axon Instruments)
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Description |
UC_0301_1_Hv3_35k_h1
|
Data processing |
Data was processed in the BioArray Software Environment (BASE). For each channel, the Mean FG - Median BG intensity value was used. Features flagged bad, missing or saturated during image analysis were removed. Poorly measured features with ch1 or ch2 intensities <15 were removed. Data was normalized using pin-based LOWESS algorithm.
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|
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Submission date |
Jan 15, 2010 |
Last update date |
Jan 19, 2010 |
Contact name |
David Lindgren |
E-mail(s) |
david.lindgren@med.lu.se
|
Organization name |
Lund University
|
Department |
Dept of Laboratory Medicine
|
Lab |
Translational Cancer Research
|
Street address |
Building 404 A3, Scheelevägen 2, Medicon Village
|
City |
Lund |
ZIP/Postal code |
SE-223 81 |
Country |
Sweden |
|
|
Platform ID |
GPL5186 |
Series (1) |
GSE19915 |
Subtype classification, grading, and outcome prediction of urothelial carcinomas by combined mRNA profiling and aCGH |
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