Vasohibin (VASH -1, an endogenous angiogenesis inhibitor, was identified in a microarray analysis assessing genes upregulated by VASH -1in endothelian cendogenous].
In contrast, microarray analysis assesses the transcript abundance of tens of thousands of genes, thus it has required the application of statistical methods to normalise the distribution of signals and also requires correction for large samples sets, so called false discovery rate correction [ 3, 4].
Using microarray analysis, we assessed the expression levels of > 500 known miRNAs.
Using microarray analysis, we assessed gene expression changes 24 h after MCAO in FVB and β2KO mice.
The application of bacterial RNA amplification methods to explore previously inaccessible models of infection by microarray analysis was assessed using three experimental strategies.
As an independent experimental validation of the microarray analysis, we assessed the expression of AQP1 expression by immunofluorescence in E18.5 ureters in heterozygous control and Tshz3 mutant mice.
The results from the microarray analysis were assessed by the quantification of twelve genes selected by their biological functional classification and their relative range of intensity by real time quantitative PCR The coefficient of correlation between qPCR and microarray data is from 0.627 to 0.991 for 10 genes, lower for for 2 genes groupl1 and drg2 (respectively 0.472 and 0.492).
Gains and losses of the genes identified in the cDNA microarray analysis were assessed using genomic array slides produced by the Microarray Facility at Health Enterprise Rikshospitalet-Radiumhospitalet, containing 5000 unique BAC clones (RPCI-11 library, Wellcome Trust Sanger Institute, Cambridge, UK) that covered the whole genome with a resolution of approximately 1 Mbp.
We observed a high level of agreement between the genes determined to be altered according to microarray data and the qPCR analysis (assessed by two-sided t-test, p ≤ 0.05).
The use of gene-expression microarray analysis to assess the expression levels of all the genes in the genome has tremendous potential.
