The confirmation of 14 of 15 genes (Table S5) based on qPCR validation of the microarray findings suggests that this pathway is not the result of false positives in the dataset.
In conclusion, our preliminary findings suggest that microarray gene detection from archival FFPET is reliable and capable of identifying candidate prognostic genes in human tumours using standard methodology, albeit with a gene detection rate of only ∼50% compared with frozen tissues.
Our findings suggest that microarrays remain useful and accurate for transcriptomic analysis of clinical samples with low input requirements, while RNA-seq technology complements and extends microarray measurements for novel discoveries.
These findings suggest that these microarray data are not conclusive.
Our findings suggest that combining microarray, physiological and biochemical analysis has provided valuable insights towards a novel integrated molecular mechanism of Cd tolerance in barley.
These findings suggest that the aCGH microarray analysis underestimates CNVs in heterozygous genotypes because of a diminished power of detecting CNVs.
These findings suggest that using single-punch tissue microarray analysis to investigate these and likely other cell adhesion molecules may be suboptimal.
Our findings suggest that a more extensive, replicated microarray analysis involving higher numbers of air pouch membranes may be a powerful tool to identify genes that are differentially active in various aspects of inflammation and innate immunity.
These findings suggest that 3SEQ is a more robust platform than HEEBO microarray for gene expression profiling from FFPET.
While the most important parameter is likely to vary based on the assay, when weighted equally, the findings suggest that recognition element- and dye-functionalized viral particles provide the most attractive option for microarray detection and signal amplification.
