Title :
Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach
Author :
Xiangfang Li ; Lijun Qian ; Bittner, Michael L. ; Dougherty, Edward
Author_Institution :
Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX, USA
Abstract :
In this paper, a model that combining cell population and genetic regulation within a single cell by using stochastic hybrid systems is proposed. The objective is to study the response of a population of cancer cells to various drugs that targeting the proliferation and survival pathways. The proposed model captures both the dynamics of the cell population and the dynamics of gene regulations within each individual cell. We use drug Lapatinib applied to colon cancer cell line HCT-116 as an example to validate the proposed model. Simulation results demonstrate the phenomena that observed in TGen experiments.
Keywords :
cancer; cellular biophysics; drugs; genetics; genomics; physiological models; stochastic systems; TGen experiments; cancer cells; cell line-based platform; cell population dynamics; cell proliferation pathways; cell survival pathways; colon cancer cell line HCT-116; drug Lapatinib effect; gene regulation dynamics; stochastic hybrid systems approach; Biological system modeling; Cancer; Drugs; Mathematical model; Sociology; Statistics; drug effect; hybrid system; pathway;
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
Conference_Location :
Houston, TX
Print_ISBN :
978-1-4799-3461-4
DOI :
10.1109/GENSIPS.2013.6735930