A model is developed to study the in vivo intermediate filament organization in terms of repartition between four different structural states: soluble proteins, particles, short, and long filaments. An analysis is conducted, showing that the system has a unique, globally asymptotically stable equilibrium. By means of sensitivity analysis, the influence of parameters on the system is studied. It is shown that, in agreement with biological observations, posttranslational modifications of intermediate filament proteins resulting in filament solubilization are the main regulators of the intermediate filament organization. A high signalling-dependent solubilization of filaments favours the intermediate filament aggregation in particles.
Citation: Stéphanie Portet, Julien Arino. An in vivo intermediate filament assembly model[J]. Mathematical Biosciences and Engineering, 2009, 6(1): 117-134. doi: 10.3934/mbe.2009.6.117
Related Papers:
[1] |
Adam Sullivan, Folashade Agusto, Sharon Bewick, Chunlei Su, Suzanne Lenhart, Xiaopeng Zhao .
A mathematical model for within-host Toxoplasma gondii invasion dynamics. Mathematical Biosciences and Engineering, 2012, 9(3): 647-662.
doi: 10.3934/mbe.2012.9.647
|
[2] |
Yang Kuang, Jef Huisman, James J. Elser .
Stoichiometric Plant-Herbivore Models and Their Interpretation. Mathematical Biosciences and Engineering, 2004, 1(2): 215-222.
doi: 10.3934/mbe.2004.1.215
|
[3] |
Yuewu Liu, Mengfang Zeng, Shengyong Liu, Chun Li .
Dynamics analysis of building block synthesis reactions for virus assembly in vitro. Mathematical Biosciences and Engineering, 2023, 20(2): 4082-4102.
doi: 10.3934/mbe.2023191
|
[4] |
Yuewu Liu, Yan Peng .
Mathematical analysis of synthesis chemical reactions for virus building block polymers in vivo. Mathematical Biosciences and Engineering, 2024, 21(6): 6393-6406.
doi: 10.3934/mbe.2024279
|
[5] |
Yi Lu, Cheng Ge, Biao Cai, Qing Xu, Ren Kong, Shan Chang .
Antibody sequences assembly method based on weighted de Bruijn graph. Mathematical Biosciences and Engineering, 2023, 20(4): 6174-6190.
doi: 10.3934/mbe.2023266
|
[6] |
Madeleine Dawson, Carson Dudley, Sasamon Omoma, Hwai-Ray Tung, Maria-Veronica Ciocanel .
Characterizing emerging features in cell dynamics using topological data analysis methods. Mathematical Biosciences and Engineering, 2023, 20(2): 3023-3046.
doi: 10.3934/mbe.2023143
|
[7] |
Elena Izquierdo-Kulich, Margarita Amigó de Quesada, Carlos Manuel Pérez-Amor, José Manuel Nieto-Villar .
Morphogenesis and aggressiveness of cervix carcinoma. Mathematical Biosciences and Engineering, 2011, 8(4): 987-997.
doi: 10.3934/mbe.2011.8.987
|
[8] |
Urszula Foryś, Jan Poleszczuk .
A delay-differential equation model of HIV related cancer--immune system dynamics. Mathematical Biosciences and Engineering, 2011, 8(2): 627-641.
doi: 10.3934/mbe.2011.8.627
|
[9] |
Soumitra Pal, Pankaj Kumar Tiwari, Arvind Kumar Misra, Hao Wang .
Fear effect in a three-species food chain model with generalist predator. Mathematical Biosciences and Engineering, 2024, 21(1): 1-33.
doi: 10.3934/mbe.2024001
|
[10] |
Jason M. Graham, Bruce P. Ayati, Prem S. Ramakrishnan, James A. Martin .
Towards a new spatial representation of bone remodeling. Mathematical Biosciences and Engineering, 2012, 9(2): 281-295.
doi: 10.3934/mbe.2012.9.281
|
Abstract
A model is developed to study the in vivo intermediate filament organization in terms of repartition between four different structural states: soluble proteins, particles, short, and long filaments. An analysis is conducted, showing that the system has a unique, globally asymptotically stable equilibrium. By means of sensitivity analysis, the influence of parameters on the system is studied. It is shown that, in agreement with biological observations, posttranslational modifications of intermediate filament proteins resulting in filament solubilization are the main regulators of the intermediate filament organization. A high signalling-dependent solubilization of filaments favours the intermediate filament aggregation in particles.