Johannes, Ludger ; Klann, Michael ; Koeppl, Heinz ; Reuss, Matthias (2024)
Spatial Modeling of Vesicle Transport and the Cytoskeleton: The Challenge of Hitting the Right Road.
In: PLoS ONE, 2012, 7 (1)
doi: 10.26083/tuprints-00026930
Artikel, Zweitveröffentlichung, Verlagsversion
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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: | 2024 |
| Autor(en): | Johannes, Ludger ; Klann, Michael ; Koeppl, Heinz ; Reuss, Matthias |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Spatial Modeling of Vesicle Transport and the Cytoskeleton: The Challenge of Hitting the Right Road |
| Sprache: | Deutsch |
| Publikationsjahr: | 13 Mai 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2012 |
| Ort der Erstveröffentlichung: | San Francisco, Calif. |
| Verlag: | PLoS |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | PLoS ONE |
| Jahrgang/Volume einer Zeitschrift: | 7 |
| (Heft-)Nummer: | 1 |
| Kollation: | 15 Seiten |
| DOI: | 10.26083/tuprints-00026930 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/26930 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| 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. |
| ID-Nummer: | Artikel-ID: e29645 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-269308 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik |
| 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: | 13 Mai 2024 09:37 |
| Letzte Änderung: | 09 Aug 2024 06:39 |
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| Suche nach Titel in: | TUfind oder in Google |
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