Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells
The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower growth was observed when density dependence increased, with a constant value of cell division rate. This type of modelling could be useful to simulate the cell response under different environmental conditions.
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Instituto de Tecnologia do Paraná - Tecpar
2006
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oai:scielo:S1516-891320060003000062006-04-24Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cellsRuiz-Gómez,Miguel J.Ruiz-Gómez,AntonioMartínez Morillo,Manuel Colon carcinoma cell growth stochastic deterministic simulation The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower growth was observed when density dependence increased, with a constant value of cell division rate. This type of modelling could be useful to simulate the cell response under different environmental conditions.info:eu-repo/semantics/openAccessInstituto de Tecnologia do Paraná - TecparBrazilian Archives of Biology and Technology v.49 n.2 20062006-03-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132006000300006en10.1590/S1516-89132006000300006 |
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Ruiz-Gómez,Miguel J. Ruiz-Gómez,Antonio Martínez Morillo,Manuel |
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Ruiz-Gómez,Miguel J. Ruiz-Gómez,Antonio Martínez Morillo,Manuel Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| author_facet |
Ruiz-Gómez,Miguel J. Ruiz-Gómez,Antonio Martínez Morillo,Manuel |
| author_sort |
Ruiz-Gómez,Miguel J. |
| title |
Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| title_short |
Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| title_full |
Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| title_fullStr |
Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| title_full_unstemmed |
Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| title_sort |
stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells |
| description |
The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower growth was observed when density dependence increased, with a constant value of cell division rate. This type of modelling could be useful to simulate the cell response under different environmental conditions. |
| publisher |
Instituto de Tecnologia do Paraná - Tecpar |
| publishDate |
2006 |
| url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132006000300006 |
| work_keys_str_mv |
AT ruizgomezmiguelj stochasticmodelingforabetterapproachoftheinvitroobservedgrowthofcolonadenocarcinomacells AT ruizgomezantonio stochasticmodelingforabetterapproachoftheinvitroobservedgrowthofcolonadenocarcinomacells AT martinezmorillomanuel stochasticmodelingforabetterapproachoftheinvitroobservedgrowthofcolonadenocarcinomacells |
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