(Downloading may take up to 30 seconds.
If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.


Figure 2


Fig. 2. Cell-to-cell variability in the source or target affects the gradient fluctuations differently. (A) Idealized situation with fluctuating production rate in the source (different colors), but identical target cells. Morphogen concentration c along a slice (dashed line) in the y-direction close to the source (bottom left), and at a larger distance from the source (bottom right). (B) Theoretical {sum}(x) for the situation in A based on the model in Fig. 1C in two dimensions. Here, j fluctuates, while D and k are constant. {sum}(x) decreases with increasing distance x from the source, as in A. (C) The opposite situation to A: different target cells, identical source. (D) Calculation corresponding to C based on the model in Fig. 1C in two dimensions. D and k fluctuate, j is constant. Following an abrupt decrease very close to the source, {sum}(x) increases with increasing x. (E) {sum}(x) when cell-to-cell variability affects both the source and the target, i.e. with fluctuating j, D and k. The effects in A and C are superimposed. A pronounced minimum of {sum}(x) at a finite distance from the source occurs. Whereas its location and the magnitude of {sum}(x) depend on parameter choice, the qualitative behavior of the curve is independent of these parameters for different noise intensities of the same order of magnitude. Parameters in B,D,E are {lambda}D/a=7, {sigma}D/D0=1, {sigma}k/k0=1, {sigma}j/j0=0.37 (for details, see continuum limit and Fig. S2 in the supplementary material).