The amount of cellular proteins is a crucial parameter that is known to vary between cells as a function of the replicative passages, and can be important during physiological aging. The process of protein degradation is known to be performed by a series of enzymatic reactions, ranging from an initial step of protein ubiquitination to their final fragmentation by the protea- some. In this paper we propose a stochastic dynamical model of nuclear proteins concen- tration resulting from a balance between a constant production of proteins and their degradation by a cooperative enzymatic reaction. The predictions of this model are com- pared with experimental data obtained by fluorescence measurements of the amount of nuclear proteins in murine tail fibroblast (MTF) undergoing cellular senescence. Our model provides a three-parameter stationary distribution that is in good agreement with the experi- mental data even during the transition to the senescent state, where the nuclear protein concentration changes abruptly. The estimation of three parameters (cooperativity, satura- tion threshold, and maximal velocity of the reaction), and their evolution during replicative passages shows that only the maximal velocity varies significantly. Based on our modeling we speculate the reduction of functionality of the protein degradation mechanism as a possi- ble competitive inhibition of the proteasome.

Giampieri, E., De Cecco, M., Remondini, D., Sedivy, J., Castellani, G. (2015). Active degradation explains the distribution of nuclear proteins during cellular senescence. PLOS ONE, 10(6), 1-25 [10.1371/journal.pone.0118442].

Active degradation explains the distribution of nuclear proteins during cellular senescence

GIAMPIERI, ENRICO;DE CECCO, MARCO;REMONDINI, DANIEL;CASTELLANI, GASTONE
2015

Abstract

The amount of cellular proteins is a crucial parameter that is known to vary between cells as a function of the replicative passages, and can be important during physiological aging. The process of protein degradation is known to be performed by a series of enzymatic reactions, ranging from an initial step of protein ubiquitination to their final fragmentation by the protea- some. In this paper we propose a stochastic dynamical model of nuclear proteins concen- tration resulting from a balance between a constant production of proteins and their degradation by a cooperative enzymatic reaction. The predictions of this model are com- pared with experimental data obtained by fluorescence measurements of the amount of nuclear proteins in murine tail fibroblast (MTF) undergoing cellular senescence. Our model provides a three-parameter stationary distribution that is in good agreement with the experi- mental data even during the transition to the senescent state, where the nuclear protein concentration changes abruptly. The estimation of three parameters (cooperativity, satura- tion threshold, and maximal velocity of the reaction), and their evolution during replicative passages shows that only the maximal velocity varies significantly. Based on our modeling we speculate the reduction of functionality of the protein degradation mechanism as a possi- ble competitive inhibition of the proteasome.
2015
Giampieri, E., De Cecco, M., Remondini, D., Sedivy, J., Castellani, G. (2015). Active degradation explains the distribution of nuclear proteins during cellular senescence. PLOS ONE, 10(6), 1-25 [10.1371/journal.pone.0118442].
Giampieri, Enrico; De Cecco, Marco; Remondini, Daniel; Sedivy, John; Castellani, Gastone
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/523054
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