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Maren Depke<br />

Results<br />

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

In this study, the PCA plot was derived from log-transformed intensity data <strong>of</strong> 24 arrays,<br />

analyzing 2 biological replicates <strong>of</strong> mice infected with S. aureus RN1HG and RN1HG ΔsigB and one<br />

additional group <strong>of</strong> sham infection (Fig. R.2.2). The analysis was performed on sequence level<br />

(probe sets). Control sequences and sequences that are absent on all 24 arrays (p > 0.01 on<br />

intensity pr<strong>of</strong>ile level) were not included.<br />

The biological reproducibility is visualized in the PCA plot <strong>by</strong> the arrangement <strong>of</strong><br />

corresponding data points close to each other. The PCA clearly distinguished two groups:<br />

infection with S. aureus and sham infection / NaCl control (Fig. R.2.2 A). Furthermore, the PCA<br />

depicted that the data sets <strong>of</strong> infection with S. aureus RN1HG and infection with RN1HG ΔsigB<br />

were highly similar (Fig. R.2.2 A−C).<br />

A view from front B view from right side C view from above<br />

Fig. R.2.2: Visualization <strong>of</strong> transcriptome data using Principal Component Analysis (PCA).<br />

Log-transformed data were used to derive a PCA plot containing 24 arrays (analyzing 2 biological replicates <strong>of</strong> 2 groups with different<br />

infecting strains and one additional group <strong>of</strong> sham infection). Resulting principal components (PC) were set to cover 95 % <strong>of</strong> total<br />

variation, while the total number <strong>of</strong> principal components was not limited. The analysis was restricted to non-control probe sets that<br />

were not absent on all 24 arrays, when absence <strong>of</strong> expression is defined via a p-value > 0.01 on intensity pr<strong>of</strong>ile level in Rosetta<br />

Resolver.<br />

All 3 images (A-C) belong to the same PCA shown in the normal view from the front in the first image (A). In the second image the<br />

PCA-graph is turned <strong>by</strong> 90° to the left around the axis <strong>of</strong> principle component 2 resulting in a view from the right side into the plot (B).<br />

Finally, in the third image the view from above into the graph is achieved <strong>by</strong> turning the plot <strong>by</strong> 90° around the axis <strong>of</strong> principle<br />

component 1 (C).<br />

Arrays <strong>of</strong> the first biological replicate (BR1) are represented <strong>by</strong> rhombi () and arrays <strong>of</strong> the second biological replicate (BR2) <strong>by</strong><br />

dots (•). Coloring distinguishes the three treatment groups <strong>of</strong> infection with S. aureus RN1HG (red), infection with S. aureus<br />

RN1HG ΔsigB (blue) and sham infection / NaCl control (green).<br />

Comparison <strong>of</strong> treatment groups reveals the same <strong>host</strong> reaction to infection with S. aureus<br />

RN1HG and its sigB-mutant<br />

Already the PCA had shown a high similarity between the reaction to the two different<br />

infecting strains S. aureus RN1HG and RN1HG ΔsigB. Based on the PCA results the strategy for<br />

statistical testing consisted <strong>of</strong> four main types <strong>of</strong> comparison (Fig. R.2.3):<br />

comparison <strong>of</strong> the two groups with different infecting strains (infection with RN1HG ΔsigB<br />

vs. infection with RN1HG) after combining both biological replicates<br />

comparison <strong>of</strong> the two groups with different infecting strains for each biological replicate<br />

separately<br />

comparison <strong>of</strong> the same experimental groups <strong>of</strong> different biological replicates (infection with<br />

RN1HG: BR1 vs. BR2; infection with RN1HG ΔsigB: BR1 vs. BR2)<br />

comparison <strong>of</strong> infection with S. aureus and sham infection in the second biological replicate<br />

(infection with RN1HG vs. sham infection; infection with RN1HG ΔsigB vs. sham infection)<br />

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