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log 2 ratio (inf. RN1HG ΔsigB / sham inf.)<br />

Maren Depke<br />

Results<br />

Kidney Gene Expression Pattern in an in vivo Infection Model<br />

Comparative analysis <strong>of</strong> S. aureus infected samples with sham infection identifies strong<br />

infection/inflammation reactions <strong>of</strong> the kidney tissue<br />

As high reproducibility <strong>of</strong> kidney expression pr<strong>of</strong>iles in biological replicates <strong>of</strong> infection with<br />

S. aureus had been shown, the comparison between S. aureus infected samples and sham<br />

infection / NaCl control was conducted with only one representative biological replicate (for<br />

comparison see Fig. R.2.3; and Fig. R.2.4, panel ).<br />

When comparing sham infection with infection with S. aureus RN1HG, 5264 sequences were<br />

differentially expressed which correspond to 4613 genes (EntrezGene records in Rosetta Resolver<br />

s<strong>of</strong>tware). Of these genes, 1083 possessed an absolute fold change <strong>of</strong> at least 2. A similar<br />

difference was observed in the comparison <strong>of</strong> sham infection with infection with S. aureus<br />

RN1HG ΔsigB: 4826 sequences (4248 genes) differed significantly <strong>of</strong> which 970 genes exhibited<br />

an absolute fold difference <strong>of</strong> at least 2 (Table R.2.1).<br />

When calculating ratios <strong>of</strong> highly similar sample data sets to a common baseline, a result <strong>of</strong><br />

conforming values is expected. The log-ratio plot <strong>of</strong> the two ratios “infection with<br />

RN1HG” / “sham infection” and “infection with RN1HG ΔsigB” / “sham infection” in the second<br />

biological replicate BR2 on EntrezGene level visualizes this similarity <strong>of</strong> the ratio data: Data points<br />

are mainly arranged near the diagonal <strong>of</strong> the plot (Fig. R.2.6). Some data points display more<br />

scattering, but the difference in the ratios was not significant when tested statistically and was<br />

mainly due to higher variation in signal intensities <strong>of</strong> one group, as described above.<br />

6<br />

Fig. R.2.6:<br />

Ratio plot comparing the log 2ratio <strong>of</strong> “infection with<br />

RN1HG” / “sham infection” with the log 2ratio <strong>of</strong><br />

“infection with RN1HG ΔsigB” / “sham infection” in the<br />

second biological replicate BR2 on EntrezGene level.<br />

Genes differentially regulated (p* < 0.01 in errorweighted<br />

one-way ANOVA with Benjamini-Hochberg<br />

False Discovery Rate multiple testing correction in the<br />

Rosetta Resolver s<strong>of</strong>tware) in both comparisons are<br />

colored in light gray, genes specifically significant in the<br />

comparison “infection with RN1HG” / “sham infection”<br />

are depicted in black while genes specifically significant<br />

in the comparison “infection with RN1HG<br />

ΔsigB” / “sham infection” are shown in dark gray. In<br />

total, 5025 genes are visible.<br />

BR – biological replicate.<br />

4<br />

2<br />

0<br />

-2<br />

-4<br />

-6<br />

-6 -4 -2 0 2 4 6<br />

log 2 ratio (inf. RN1HG / sham inf.)<br />

The genes differentially regulated in S. aureus infected kidney tissue compared to sham<br />

infection were further analyzed using the Ingenuity Pathway Analysis tool. Only genes displaying<br />

an at least tw<strong>of</strong>old difference in expression between sham infected and S. aureus infected<br />

animals (either RN1HG or RN1HG ΔsigB from the second biological replicate BR2) were<br />

considered in this analysis. Using this approach, the list <strong>of</strong> genes eligible for analysis was<br />

restricted to 1156 genes <strong>of</strong> which 4 could not be mapped to internal data base entries (Ingenuity<br />

Pathway Knowledge Base, IPKB) <strong>by</strong> IPA. Since expression values <strong>of</strong> experiments involving<br />

infection with S. aureus RN1HG or its isogenic sigB mutant did not differ significantly, the average<br />

<strong>of</strong> both expression values was compared to sham infected animals, which allows intuitive<br />

visualization <strong>of</strong> the data.<br />

The global functional analysis using IPA <strong>of</strong>fers an overview on the biological functions that are<br />

associated with the analyzed data set. As expected from the experimental setting, influence on<br />

the functional category “Inflammatory Response” was most pronounced with p-values <strong>of</strong><br />

2.36E−75 to 1.24E−10 for the sub-categories and with 343 associated genes differentially<br />

expressed between infection and sham infection. Additionally, other infection, immune response<br />

82

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