Validation through tissue microarray investigation of MST1 and PKN1 proteins confirmed the usefulness of this approach, and suggested that MST1 and PKN1 may be considered as predictive biomarkers of endometrial cancer.
We therefore conducted a microarray investigation to determine if the transcriptional profiles for engrafted spleen and BM are also analogous.
Through our assembly process, we identified 22,765 putative genes – half of which have been annotated and three-quarters of which were validated by microarray investigation.
Advances in molecular genetic testing have greatly improved diagnostic rates in EIEE, and this report further confirms the important role of microarray investigation in this group of disorders.
Today, it is possible to prepare custom microarrays [ 27], while direct sequencing of transcripts by high-throughput sequencing technologies (RNA-Seq) would probably make possible to expand microarray investigation.
In order to get an insight into the global structure of the complex dataset of this microarray investigation, we performed a principal component analysis (PCA) on a reduced dataset (see Methods) using the steady-state mRNA levels determined by the application of a common reference hybridization strategy (see Methods).
Two large microarray investigations met these criteria and were selected for examination of the presence of neuropeptides and for evidence of differential expression between conditions.
These findings lay the groundwork for more detailed functional, phenotypic and microarray investigations into the putative functional exhaustion of KLRG-1hi cells, possibly due to increased antigenic encounters and related proliferation during the late stages of infection.
Additional microarray investigations pertaining to the detection and validation of polymorphic genes and differential transcription profiles between related parasite clones have further validated the performance of the oligonucleotide probes (unpublished).
We feel that this experimental approach offers significant advantages over previous and recent DNA microarray investigations of the Fe-deficiency response by increasing the resolution of the temporal response and by decreasing non-Fe deficiency-induced transcriptional changes, which are common in microarray analyses.
