Sentence examples for microarray observations in from inspiring English sources

Consistent with our microarray observations in older mice, these retinoic acid-regulated and inflammatory genes were significantly elevated in SKO mice (Figure 4).

After successful p63 depletion at the protein level, qPCR analyses revealed that all target genes analyzed displayed p63-regulated transcript changes that were consistent with those observed in our initial microarray observations, validating these genes as bona fide p63-regulated genes.

In this study, we have validated our previous microarray observations of METH-2 expression in an independent series of non-small-cell lung carcinomas (NSCLCs) and we have investigated possible genetic and epigenetic mechanisms responsible for this inactivation.

Changes in expression, as assessed by microarray analysis, of BCL2, EPHA4 and EPHA3 were validated by real time PCR in each MSC population and confirmed the microarray observations (Figure 2).

In our case we have N = 2904 microarray observations, and x covers the current selection of genes.

These qRT-PCR findings support the microarray observations overall.

These results are consistent with our microarray observations.

In their microarray study of human cell antisense transcription, Ge et al. [ 18] found that 26% of the RT-PCR results were not consistent with microarray observations.

We performed quantitative RT-PCR in order to: (i) Validate the original microarray observation of differences in FOXO1a gene expression between humans and chimpanzees, (ii) confirm the FOXO1a knockdown in HepG2/C3A liver cells (see below), and (iii) test for inter-species differences expression of the eight FOXO1a direct transcriptional targets (see below).

Due to the high risk of missing observations in microarray experiments, it is fundamental to concentrate not only on optimal designs but also on designs which are robust against missing observations.

In line with the observations in microarray gene expression studies, it has been shown that in those cases where there is only a modest overlap in the variant or gene-level findings between different studies, due to factors such as differences in the genetic structure, the pathway-level associations may be much more reproducible even between different study populations [ 57- 60].