Following one microarray analysis, the most significantly altered genes are used to create a category.
In a typical Affymetrix microarray analysis, the background signal is estimated using a set of mismatch probes [6].
To verify this possibility we checked in our microarray analysis the effect of RA in hMSC identity.
Moreover our data analysis shows the potency of the aFD statistics in microarray analysis, the latter being validated by qPCR.
The problem with this metric is that in any microarray analysis, the number of AN-genes always exceeds the number AP-genes by at least several fold.
Although these data validated the experiments for microarray analysis, the induction of IL-1β transcript levels differed from that observed by qPCR (Figure 3B).
Regarding chemotaxis, despite the differences observed in the microarray analysis, the three mutants showed the same chemotactic phenotype at least under our experimental conditions.
In our microarray analysis, the expression of 11 rat homologous NR members was permanently altered by perinatal protein undernutrition (Table 4).
For microarray analysis, the Significance Analysis of Microarrays (SAM) algorithm was used to identify genes with statistically significant differences in expression among the conditions.
For microarray analysis, the RNA was quantitated in a Beckman DU530 spectrophotometer and labeled cDNA was made using the Cyscribe labeling kit.
Therefore, similar to microarray analysis, the protein profile verified the deletion of the SO1377 gene.
