Patient-based cross-platform comparison of oligonucleotide microarray expression profiles

被引:52
|
作者
Schlingemann, J
Habtemichael, N
Ittrich, C
Toedt, G
Kramer, H
Hambek, M
Knecht, R
Lichter, P
Stauber, R
Hahn, M
机构
[1] Deutsch Krebsforschungszentrum, Div Mol Genet, D-69120 Heidelberg, Germany
[2] Chemotherapeut Forschungsinst Georg Speyer Haus, D-60596 Frankfurt, Germany
[3] Deutsch Krebsforschungszentrum, Cent Unit Biostat, D-6900 Heidelberg, Germany
[4] Goethe Univ Frankfurt, Univ Klin, Dept Otorhinolaryngol, D-6000 Frankfurt, Germany
关键词
comparative study; expression profiling; head and neck cancer; oligonucleotide microarray; oligonucleotide probes; reproducibility of results; statistics and numerical data;
D O I
10.1038/labinvest.3700293
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The comparison of gene expression measurements obtained with different technical approaches is of substantial interest in order to clarify whether interplatform differences may conceal biologically significant information. To address this concern, we analyzed gene expression in a set of head and neck squamous cell carcinoma patients, using both spotted oligonucleotide microarrays made from a large collection of 70-mer probes and commercial arrays produced by in situ synthesis of sets of multiple 25-mer oligonucleotides per gene. Expression measurements were compared for 4425 genes represented on both platforms, which revealed strong correlations between the corresponding data sets. Of note, a global tendency towards smaller absolute ratios was observed when using the 70-mer probes. Real-time quantitative reverse transcription PCR measurements were conducted to verify expression ratios for a subset of genes and achieved good agreement regarding both array platforms. In conclusion, similar profiles of relative gene expression were obtained using arrays of either single 70-mer or multiple short 25-mer oligonucleotide probes per gene. Although qualitative assessments of the expression of individual genes have to be made with caution, our results indicate that the comparison of gene expression profiles generated on these platforms will help to discover disease-related gene signatures in general.
引用
收藏
页码:1024 / 1039
页数:16
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