A novel quantitative model of cell cycle progression based on cyclin-dependent kinases activity and population balances. (April 2015)
- Record Type:
- Journal Article
- Title:
- A novel quantitative model of cell cycle progression based on cyclin-dependent kinases activity and population balances. (April 2015)
- Main Title:
- A novel quantitative model of cell cycle progression based on cyclin-dependent kinases activity and population balances
- Authors:
- Pisu, Massimo
Concas, Alessandro
Cao, Giacomo - Abstract:
- Graphical abstract: Highlights: A novel model of cell cycle progression is proposed in this work. The model is based on a population balance (PB) approach. Cell phase transition is simulated by means of a suitable biochemical model. Examples are discussed to illustrate the ability of the proposed model. Abstract: Cell cycle regulates proliferative cell capacity under normal or pathologic conditions, and in general it governs all in vivo / in vitro cell growth and proliferation processes. Mathematical simulation by means of reliable and predictive models represents an important tool to interpret experiment results, to facilitate the definition of the optimal operating conditions for in vitro cultivation, or to predict the effect of a specific drug in normal/pathologic mammalian cells. Along these lines, a novel model of cell cycle progression is proposed in this work. Specifically, it is based on a population balance (PB) approach that allows one to quantitatively describe cell cycle progression through the different phases experienced by each cell of the entire population during its own life. The transition between two consecutive cell cycle phases is simulated by taking advantage of the biochemical kinetic model developed by Gérard and Goldbeter (2009) which involves cyclin-dependent kinases (CDKs) whose regulation is achieved through a variety of mechanisms that include association with cyclins and protein inhibitors, phosphorylation–dephosphorylation, and cyclin synthesisGraphical abstract: Highlights: A novel model of cell cycle progression is proposed in this work. The model is based on a population balance (PB) approach. Cell phase transition is simulated by means of a suitable biochemical model. Examples are discussed to illustrate the ability of the proposed model. Abstract: Cell cycle regulates proliferative cell capacity under normal or pathologic conditions, and in general it governs all in vivo / in vitro cell growth and proliferation processes. Mathematical simulation by means of reliable and predictive models represents an important tool to interpret experiment results, to facilitate the definition of the optimal operating conditions for in vitro cultivation, or to predict the effect of a specific drug in normal/pathologic mammalian cells. Along these lines, a novel model of cell cycle progression is proposed in this work. Specifically, it is based on a population balance (PB) approach that allows one to quantitatively describe cell cycle progression through the different phases experienced by each cell of the entire population during its own life. The transition between two consecutive cell cycle phases is simulated by taking advantage of the biochemical kinetic model developed by Gérard and Goldbeter (2009) which involves cyclin-dependent kinases (CDKs) whose regulation is achieved through a variety of mechanisms that include association with cyclins and protein inhibitors, phosphorylation–dephosphorylation, and cyclin synthesis or degradation. This biochemical model properly describes the entire cell cycle of mammalian cells by maintaining a sufficient level of detail useful to identify check point for transition and to estimate phase duration required by PB. Specific examples are discussed to illustrate the ability of the proposed model to simulate the effect of drugs for in vitro trials of interest in oncology, regenerative medicine and tissue engineering. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 55(2015)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 55(2015)
- Issue Display:
- Volume 55, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 55
- Issue:
- 2015
- Issue Sort Value:
- 2015-0055-2015-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2015-04
- Subjects:
- Population balance -- Cell cycle -- Modeling -- Bioreactions -- Kinetic parameters -- Tissue cell culture
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2015.01.002 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22628.xml