Gene expression differences between pairs of genotypes differing only in the parent-of-origin of the sex chromosomes were assayed by direct comparison of RNA samples on the spotted microarrays, incorporating dye swaps.
Oncomine [13] was chosen because it is a public cancer microarray platform incorporating 264 independent microarray datasets, totaling more than 18,000 microarray experiments, which span 35 cancer types.
In our experience, a microarray analysis incorporating a loop design and reciprocal labeling with Cy™3 and Cy™5 dyes, requires 80 micrograms of total RNA per sample [ 1].
As an initial step to identifying improved diagnostic and prognostic molecular markers for melanoma, we carried out a comprehensive microarray study incorporating fixed tissues samples representing the key stages in melanomagenesis and a range of melanocyte and melanoma cell lines.
The initial microarray assay incorporated a pre-treatment step with aza-cytidine and zebularine (both demethylating agents) for comparison of gene expression levels with untreated cells.
Can a microarray that incorporates assays for homologous but distantly-related genes of different species successfully discriminate DNA from those species [ 6]?
Analysis of all the microarray data incorporated in the database was performed using LIMMA (24), a Bioconductor (25) package for the R statistical programming language (http://www.r-project.org).org
It is still a challenge that how to improve SP and maximally extract the useful information from the microarray data by incorporating the information about the functional relationship between genes from the microarray data with relatively small sample size [10].
To examine KDM1A protein expression in medulloblastomas, a tissue microarray was prepared incorporating 70 primary human medulloblastomas prior to treatment and 9 samples of unaltered normal cerebellar tissue as controls.
