genomewide characterization of host-pathogen interactions by ...
genomewide characterization of host-pathogen interactions by ...
genomewide characterization of host-pathogen interactions by ...
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Maren Depke<br />
Results<br />
Kidney Gene Expression Pattern in an in vivo Infection Model<br />
infection with<br />
RN1HG<br />
BR1<br />
(4 arrays)<br />
3<br />
infection with<br />
RN1HG<br />
BR2<br />
(5 arrays)<br />
4<br />
2<br />
1<br />
2<br />
sham infection<br />
(NaCl)<br />
BR2<br />
(5 arrays)<br />
infection with<br />
RN1HG ΔsigB<br />
BR1<br />
(5 arrays)<br />
3<br />
infection with<br />
RN1HG ΔsigB<br />
BR2<br />
(5 arrays)<br />
4<br />
Fig. R.2.3: Overview on the comparisons between groups in this study that were addressed with statistical testing and visualized with<br />
scatter plots.<br />
The two groups with different infecting strains (infection with RN1HG ΔsigB vs. infection with RN1HG) were compared after<br />
combining both biological replicates () and for each biological replicate separately (). Same experimental groups <strong>of</strong> different<br />
biological replicates (infection with RN1HG: BR1 vs. BR2; infection with RN1HG ΔsigB: BR1 vs. BR2) were also checked against each<br />
other (). The last comparison focused on infection and sham infection in the second biological replicate (infection with RN1HG vs.<br />
sham infection; infection with RN1HG ΔsigB vs. sham infection; ).<br />
BR – biological replicate.<br />
The comparisons were visualized using scatter plots (Fig. R.2.4). Comparable to the PCA<br />
results, a striking concordance between expression values <strong>of</strong> kidney after infection with RN1HG<br />
and infection with RN1HG ΔsigB was observed, especially when both biological replicates were<br />
combined (Fig. R.2.4, panel ), but also when the biological replicates were considered<br />
separately (Fig. R.2.4, panel ). In the comparison <strong>of</strong> the same experimental groups in both<br />
replicates high similarity was observed (Fig. R.2.4, panel ), although the inter-replicate variation<br />
<strong>of</strong> the same treatment was higher than the intra-replicate variation <strong>of</strong> the different treatments<br />
for S. aureus infected samples. The inter-replicate variation might be due to the difference <strong>of</strong> one<br />
day in the sampling time point (d 4 or d 5). Strong effects <strong>of</strong> S. aureus infection independent <strong>of</strong><br />
the infecting strain emerged in the comparison to the sham infected / NaCl control sample group<br />
(Fig. R.2.4, panel ).<br />
The different experimental groups were compared with statistical testing to obtain lists <strong>of</strong><br />
differentially expressed genes. Sequences not expressed and control sequences were not<br />
included in statistical testing.<br />
The first statistical test compared kidney samples <strong>of</strong> mice infected with S. aureus RN1HG ΔsigB<br />
vs. infection with RN1HG in an approach that combined both biological replicates (for<br />
comparison see Fig. R.2.3; and Fig. R.2.4, panel ). Only one sequence corresponding to one<br />
gene was significantly different in intensity between both groups (Table R.2.1). For all arrays<br />
except one array from a specific animal the signal intensities <strong>of</strong> this gene were low and their p-<br />
value for expression was high. i. e. the expression was absent (Fig. R.2.5 A). The array data from<br />
the single outlying animal caused statistical significance, but the result is not biologically relevant<br />
because it is obviously due to an unknown, animal-specific factor and not to treatment.<br />
77