Description Usage Format Details Source References Examples
This dataset was used in Andersen et al (2004) to demonstrate normalization of real-time quantitative RT-PCR data by geometric averaging of housekeeping genes.
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A qPCRBatch object which contains an expression matrix with the expression of
14 genes measured in 28 samples. The sample information is saved in the
phenoData
slot with variables
Sample.no.
sample number.
Grade
Grade of bladder cancer.
The following information on the measured genes is saved in the variables
Symbol
and Gene.name
of the featureData
slot.
ATP5B
ATP synthase, H+ transporting, mitochondrial F1 complex, beta polypetide.
HSPCB
Heat shock 90-kDa protein 1, beta.
S100A6
S100 calcium-binding protein A6 (calcylin).
FLOT2
Flotillin 2.
TEGT
Testis enhanced gene transcript (BAX inhibitor 1).
UBB
Ubiquitin B.
TPT1
Tumor protein, translationally controlled 1.
CFL1
Cofilin 1 (non-muscle).
ACTB
Actin, beta.
RPS13
Ribosomal protein S13.
RPS23
Ribosomal protein S23.
GAPD
Glyceraldehyde-3-phosphate dehydrogenase.
UBC
Ubiquitin C.
FLJ20030
Hypothetical protein FLJ20030.
For a detailed annotation see Table 1 in Anderson et al. (2004).
The genes included in this data set were selected by screening 99 bladder sample expression profiles.
The data set was obtained from http://www.mdl.dk/Publications_sup1.htm
Claus Lindbjerg Andersen, Jens Ledet Jensen and Torben Falck Orntoft (2004). Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets. CANCER RESEARCH 64, 5245-5250, August 1, 2004. http://cancerres.aacrjournals.org/cgi/content/full/64/15/5245
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