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A recent report has illustrated gene expression changes induced by coculture of AGS cells with H. pylori and attempted to correlate these expression changes with known cytogenetic anormalities in gastric cancer (Myllykangas et al, 2004).
The first partial transcriptome analysis of Arctic Mesorhizobium strain N33 under three different growing temperatures (4 °C, 10 °C and 21 °C), and cells exposed to a suboptimal temperature (4 °C) over a time course (2, 4, 8, 60 and 240 min) not only illustrated gene expression trends during cold treatment but also revealed some key molecular responses to low temperatures (Fig. 4).
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To better illustrate gene expression profiles in mouse ES cells, we have organized the results in an interactive database with a number of features and tools.
To illustrate gene expression changes in genes important for β cell differentiation and function, 24 genes that belong to these pathways and show differential expression between CRI-G1-RR and RS cells were compiled in a single IPA-created schematic diagram (Fig. 9; larger version is provided as Supplemental Fig. S7).
Additional file 8: Figure S4 illustrates gene expression profiles compared between LP and C samples.
Volcano plots were produced, which graphically illustrate gene expression fold-change with respect to statistical significance.
The heat map illustrates gene expression data obtained from microarray analysis.
The GeneSpring (Silicon Genetics, California) clustering diagram illustrates gene expression patterns that can discriminate among the various pathogenic agents (Fig. 1b) by identification of sets of genes where up regulation (red) and down regulation (blue) is seen for specific pathogens.
Generally, the classification system took into account the coefficient of variation across time-points as well as the statistical significance as assessed by cuffdiff (see Methods).> Figure 2 illustrates gene expression profiles and their classification.
Differences in response after priming were also illustrated by gene expression analysis.
Kaufman et al. [4] performed a co-variation correlation experiment known as Mantel test and illustrated that gene expression and connectivity patterns are significantly correlated.
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