• DocumentCode
    3239318
  • 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
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    54
  • Lastpage
    57
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    978-1-4799-3461-4
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2013.6735930
  • Filename
    6735930