Table 1.
Loading vectors of the pig and human PLS model.
Table 2.
Loading vectors of the pig, human and mouse PLS model of the small intestine.
Figure 1.
Partial least square analysis.
Results of partial least squares (PLS) model in which porcine gene expression data (Ο) were used for regression analysis with locations in the intestine and the human (□) and murine data (Δ) were projected in the model. The PLS prediction model used 5 factors and has a R2 = 0.6541. The x-axis shows the location in the intestine, in which 0–100 resembles the small intestine from proximal to distal, 100–200 resembles the large intestine.
Figure 2.
Heatmap of pig, human and murine gene expression results.
Horizontally the individual samples of different parts of the intestine are aligned from proximal to distal and vertically the eight genes are shown. Green and red indicate low and high gene expression compared to average, respectively. Grey indicates samples that could not be analyzed/detected.
Figure 3.
PLS prediction of locations along the intestine based on the gene expression in a sample.
The PLS prediction model used 3 factors and has an R2 = 0.9681. The samples of mice fed a chow diet (Δ) were the basis of the model and the data of mice fed a low-fat (A, indicated with □) and high-fat diet (B, indicated with □) was fitted in the model.