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Fig. 2 | BMC Systems Biology

Fig. 2

From: Regulation of ERK-MAPK signaling in human epidermis

Fig. 2

Transforming fluorescence image data in to a spatially-conditioned, quantitative format for mathematical analysis. a Image data were obtained by immunofluorescence labeling and confocal microscopy, and different sub-cellular localizations (cytoplasm and nucleus) were manually sampled using a graphical user interface. The position and orientation of the cell selected for surface rendering (inset) has been highlighted (orange lines). b Epidermal tissue layers that could be distinguished using label-independent criteria were demarcated. The relative position of each sample was normalized within the layer using linear interpolation, then added to a whole integer which distinguished tissue layers (ilayer; Table 1), such that the normalized distance, dnorm = ilayer + (d1/(d1 + d2)). c The sampled fluorescence intensity data (grey dots) underwent loess smoothing (blue line). Spatial conditioning allowed data from Patients One (red), Two (green) and Three (blue) to be directly compared. d Protein abundance data from specific sub-cellular compartments were compared to a normalized-Hill differential equation model, with a literature derived network structure (described in Fig. 1d). This model was solved to steady-state at different spatial positions through the epidermis

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