Using an unbiased microarray analysis approach on hippocampal tissue, our study compared the effects of a brain permeant TZD treatment in younger and older animals, and showed that while age-dependent gene signatures were clearly present at both the gene (Fig. 6) and pathway (Table 2) levels, PIO effects on gene expression were virtually absent.
Finally, to identify additional markers capable of predicting apoptotic response to this agent, we used a cDNA microarray analysis approach.
We chose the microarray analysis approach to assess the co-expression of a large amount of genes, including those that are not looked at in common analyses.
We compared the leaf RNA sequencing dataset with the present leaf dataset to demonstrate and confirm that our microarray analysis approach towards transcriptome profiling was appropriate.
We compared our whole-genome microarray analysis approach to the main phylogenetic groups of the ECOR collection previously defined and based on MLST data.
We considered the most basic microarray analysis approach, SAM (significance analysis of microarrays) [ 18], as a filter to extract statistically significant differential expression of miRNAs that distinguish the reciprocal basal-like and luminal-A breast cancer subtypes.
Furthermore, the power of the microarray analysis approach lies in its ability to detect genome-wide, coordinated, or similarly regulated differential gene expression, pointing to perturbed signalling pathways and importantly downstream molecular processes.
In the present study, we have taken a different approach to the problem, and have adopted a whole genome DNA microarray analysis approach (Masuo et al., 2011b) as a means of providing an inventory of the time-dependent changes in global gene expression that occur at the mRNA level in mice in response to ischemia.
Many microarray data analysis approaches are based on case-control study designs like comparing treated and untreated cells or matched disease and control tissues.
Interpretation of the glycan microarray analysis was approached from the perspective of cell wall polysaccharide classes and the results are presented as heatmaps.
