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| Item Type: | Article |
|---|---|
| Title: | Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction |
| Creators Name: | Giese, W. and Milicic, G. and Schröder, A. and Klipp, E. |
| Abstract: | The spatial architecture of signaling pathways and the interaction with cell size and morphology are complex, but little understood. With the advances of single cell imaging and single cell biology, it becomes crucial to understand intracellular processes in time and space. Activation of cell surface receptors often triggers a signaling cascade including the activation of membrane-attached and cytosolic signaling components, which eventually transmit the signal to the cell nucleus. Signaling proteins can form steep gradients in the cytosol, which cause strong cell size dependence. We show that the kinetics at the membrane-cytosolic interface and the ratio of cell membrane area to the enclosed cytosolic volume change the behavior of signaling cascades significantly. We suggest an estimate of average concentration for arbitrary cell shapes depending on the cell volume and cell surface area. The normalized variance, known from image analysis, is suggested as an alternative measure to quantify the deviation from the average concentration. A mathematical analysis of signal transduction in time and space is presented, providing analytical solutions for different spatial arrangements of linear signaling cascades. Quantification of signaling time scales reveals that signal propagation is faster at the membrane than at the nucleus, while this time difference decreases with the number of signaling components in the cytosol. Our investigations are complemented by numerical simulations of non-linear cascades with feedback and asymmetric cell shapes. We conclude that intracellular signal propagation is highly dependent on cell geometry and, thereby, conveys information on cell size and shape to the nucleus. |
| Keywords: | Active Biological Transport, Biological Models, Cell Membrane, Cell Nucleus, Cell Shape, Cell Size, Cell Surface Receptors, Computational Biology, Computer Simulation, Cytosol, Finite Element Analysis, Kinetics, Nonlinear Dynamics, Physiological Feedback, Protein Kinases, Signal Transduction |
| Source: | PLoS Computational Biology |
| ISSN: | 1553-7358 |
| Publisher: | Public Library of Science |
| Volume: | 14 |
| Number: | 4 |
| Page Range: | e1006075 |
| Date: | 9 April 2018 |
| Official Publication: | https://doi.org/10.1371/journal.pcbi.1006075 |
| PubMed: | View item in PubMed |
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