These observations were confirmed by microarray analyses showing that the gene expression profile characteristic of hESCs (high Oct-4, Nanog, Sox2, Cripto and Nodal, etc).
Depending on the probe sets analyzed, the correlations between qRT-PCR data and microarray signal intensity varied from 0.531* to 0.932**, indicating that the expression patterns detected by microarray analyses are in good agreement with that detected by qRT-PCR.
Permutation analyses allow the quality of different epistasis data sets obtained by microarray analyses to be quantified so that their use in assembling network models can be appropriately weighted.
Moreover, PDGFRβ mRNA expression was identified by microarray analyses as one of five mRNAs that predict prostate cancer recurrence, the other four being chromogranin A, HOXC6, IPTR3 and sialyltransferase-1 [ 183].
By microarray analyses, Reinke et al. identified sets of genes that are spermatogenesis-enriched, oogenesis-enriched and sex-regulated [ 28, 29].
We discovered a consistent correspondence between the microarray and RT-PCR data: genes that were detected as repression targets of H1 by microarray analyses also exhibited upregulation in H1-depleted salivary glands when examined by RT-PCR.
Further, we have also identified genes from Ron replete and Ron deplete livers that were differentially expressed during the progression of liver inflammation associated with acute liver failure in mice by microarray analyses.
We transfected HEK293T cells with epitope-tagged Ago2, immunopurified Ago2 together with any associated miRNAs and mRNAs, and quantitatively determined the levels of these RNAs by microarray analyses.
We compared OsDREB1A, AP59, OsbZIP23, SNAC1, OsNAC5 and OsNAC6 downstream genes identified by microarray analyses.
