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Details of genes shortlisted, on the basis of microarray results, for semi-quantitative RT-PCR.
On the basis of microarray results, we selected 19 DMRs for large-scale screening of cases and controls.
Nine target genes were selected on the basis of microarray results and reflected the whole range of fold change (both up-regulated and down-regulated genes in different samples).
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Statistical analysis of microarray results was done using NIA Array Analysis software [ 79, 80] on the basis of 25,585 non-redundant genes with symbols (Additional file 1).
L.C. and W.Y. helped with performance and interpretation of microarray results that contributed to the data.
Many tools are now freely available to aid investigators with microarray normalization and selection of internal reference genes to be used for independent corroboration of microarray results.
Here we discuss problems related to the sensitivity, accuracy, specificity and reproducibility of microarray results.
Validation of microarray results by semi-quantitative RT-PCR revealed temporal variation in gene expression profiles.
Fig. 4 Validation of microarray results by semi-quantitative RT-PCR.
The expression levels of the twelve genes generated by qRT-PCR were consistent with the microarray analysis, demonstrating the reliability and accuracy of microarray results (Additional file 14: Figure S8a-8 l).
Validation of microarray results was made by RT-PCR.
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