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Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road

Klann, M. ; Koeppl, H. ; Reuss, M. (2012)
Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road.
In: PloS one, 7 (1)
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

The membrane trafficking machinery provides a transport and sorting system for many cellular proteins. We propose a mechanistic agent-based computer simulation to integrate and test the hypothesis of vesicle transport embedded into a detailed model cell. The method tracks both the number and location of the vesicles. Thus both the stochastic properties due to the low numbers and the spatial aspects are preserved. The underlying molecular interactions that control the vesicle actions are included in a multi-scale manner based on the model of Heinrich and Rapoport (2005). By adding motor proteins we can improve the recycling process of SNAREs and model cell polarization. Our model also predicts that coat molecules should have a high turnover at the compartment membranes, while the turnover of motor proteins has to be slow. The modular structure of the underlying model keeps it tractable despite the overall complexity of the vesicle system. We apply our model to receptor-mediated endocytosis and show how a polarized cytoskeleton structure leads to polarized distributions in the plasma membrane both of SNAREs and the Ste2p receptor in yeast. In addition, we can couple signal transduction and membrane trafficking steps in one simulation, which enables analyzing the effect of receptor-mediated endocytosis on signaling.

Typ des Eintrags: Artikel
Erschienen: 2012
Autor(en): Klann, M. ; Koeppl, H. ; Reuss, M.
Art des Eintrags: Bibliographie
Titel: Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road
Sprache: Englisch
Publikationsjahr: Januar 2012
Titel der Zeitschrift, Zeitung oder Schriftenreihe: PloS one
Jahrgang/Volume einer Zeitschrift: 7
(Heft-)Nummer: 1
URL / URN: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjourna...
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Kurzbeschreibung (Abstract):

The membrane trafficking machinery provides a transport and sorting system for many cellular proteins. We propose a mechanistic agent-based computer simulation to integrate and test the hypothesis of vesicle transport embedded into a detailed model cell. The method tracks both the number and location of the vesicles. Thus both the stochastic properties due to the low numbers and the spatial aspects are preserved. The underlying molecular interactions that control the vesicle actions are included in a multi-scale manner based on the model of Heinrich and Rapoport (2005). By adding motor proteins we can improve the recycling process of SNAREs and model cell polarization. Our model also predicts that coat molecules should have a high turnover at the compartment membranes, while the turnover of motor proteins has to be slow. The modular structure of the underlying model keeps it tractable despite the overall complexity of the vesicle system. We apply our model to receptor-mediated endocytosis and show how a polarized cytoskeleton structure leads to polarized distributions in the plasma membrane both of SNAREs and the Ste2p receptor in yeast. In addition, we can couple signal transduction and membrane trafficking steps in one simulation, which enables analyzing the effect of receptor-mediated endocytosis on signaling.

Freie Schlagworte: Biological, Cell Membrane, Cell Membrane: metabolism, Cell Polarity, Cell Surface, Cell Surface: metabolism, Computer Simulation, Cytoskeleton, Cytoskeleton: metabolism,Endocytosis,Exocytosis,Kinetics,Models,Protein Transport,Receptors,Signal Transduction
ID-Nummer: Artikel-ID: e29645
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 04 Apr 2014 12:49
Letzte Änderung: 09 Aug 2024 06:40
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