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Gene expression values were determined using the microarray technology from Affymetrix as described above.
We analysed the gene expression profiles in endothelial cells stimulated with antibodies affinity-purified against either the UL122 or the US28 peptides using the microarray technology.
The GeneSpring software package 7.2 was used to identify coexpressed genes within a set of gene expression data typically obtained using the microarray technology.
In this study, skeletal muscle biopsies from male subjects with type 2 diabetes, first degree relatives, and healthy controls were investigated at the gene expression level using the microarray technology.
Consequently, using the microarray technology for high throughput SNP discovery and genotyping has been controversial, and efforts have been made to identify the sites with the highest likelihood of being correct (see [18], and references therein).
Transcript levels for CCR7 were the lowest ones among those for the 10 selected genes by using RT-qPCR, and very low signal intensities were measured for CCR7 by using the microarray technology; this indicates that differences in gene expression are more difficult to quantify by using microarray technology for low transcript levels.
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Regarding ICH, a disease with no effective treatment at the present time, two investigations have used the microarray technology to study gene expression.
For this purpose, we used the microarray technology in combination with advanced statistics analysis techniques.
More studies elucidated the oocyte gene expression profile from different aspects; most of these studies used the microarray technology and are listed in Table 2.
We used the microarray technology to expand our knowledge of miRNA-related mechanisms involved in normal PR development and degeneration in xlpra2 retinas at three key time points previously established for the disease [ 24].
The microarrays were scanned using the microarray scanner C (Agilent Technologies) using XDR at 5 µm resolution.
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