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Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR

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Abstract & Overview

Quantitative real-time PCR (qPCR) is a commonly used validation tool for confirming gene expression results obtained from microarray analysis; however, microarray and qPCR data often result in disagreement. The current study assesses factors contributing to the correlation between these methods in five separate experiments employing two-color 60-mer oligonucleotide microarrays and qPCR using SYBR green. Overall, significant correlation was observed between microarray and qPCR results (rho=0.708, p<0.0001, n=277) using these platforms. The contribution of factors including up- vs. down-regulation, spot intensity, rho-value, fold-change, cycle threshold (C(t)), array averaging, tissue type, and tissue preparation was assessed. Filtering of microarray data for measures of quality (fold-change and rho-value) proves to be the most critical factor, with significant correlations of rho>0.80 consistently observed when quality scores are applied.

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Jeanine S. Morey, James C. Ryan, Frances M. Van Dolah (2006). Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR. Biological Procedures Online, 8(1), 175–193. https://doi.org/10.1251/bpo126

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Morey, J. S., Ryan, J. C., & Dolah, F. M. V. (2006). Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR. Biological Procedures Online, 8(1), 175–193. https://doi.org/10.1251/bpo126
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