For both primary and secondary infection, one-way analysis of variance (ANOVA) was applied to the microarray time-series profile of gene expression to select for differentially expressed proteins.
Demura et al. ([2002]) constructed a comprehensive profile of gene expression in an in vitro Zinnia culture system to gather fundamental information about the gene regulation underlying the differentiation of plant cells.
To investigate the cellular bases of response to platinum compounds, we examined the profile of gene expression of ovarian carcinoma cells exhibiting sensitivity (A2780) or resistance (A2780/BBR3464) to platinum compounds.
These data were subjected to a consensus clustering algorithm (K* = 7, in this case) to define the temporal profile of gene expression.
We used Affymetrix Xenopus laevis Genome Arrays to generate a transcriptional profile of gene expression in testes of hybrids, X. laevis, and X. muelleri.
We have approached this issue by generating new tools to interrogate the oligodendrocyte transcriptome and comparing the kinetic profile of gene expression in differentiating OPCs in physiological conditions, with that of OPCs treated with the HDAC inhibitor trichostatin A (TSA).
To characterize the differences in the profile of gene expression between control and LP rats, and to classify genes and biological samples hierarchically, we used the Gene Cluster program [56].
Furthermore, we found that the profile of gene expression across contigs, as measured by reads per kilobase per million mapped reads (RPKM), adhered to the expected distribution with 95% of contigs having an RPKM value of 133.83 or less and extreme values that differ by three orders of magnitude (from 2.69 to 19,775.75).
In order to build up a detailed profile of gene expression patterns in cell lineages that give rise to each of the digits over time, we compared 3 dimensional (3D) expression patterns of these genes during wing development and related them to digit fate maps.
Therefore, they may reflect a common profile of gene expression relevant to liver proliferation and carcinogenesis.
This activated stromal microenvironment may affect the profile of gene expression of the adjacent epithelial cells.
