A discrete Petri net model for cephalostatin-induced apoptosis in leukemic cells |
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Authors: | Eva M Rodriguez Anita Rudy Ricardo C H del Rosario Angelika M Vollmar Eduardo R Mendoza |
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Affiliation: | (1) Department of Mathematics, University of Asia and the Pacific, Pasig City, Philippines;(2) Department of Pharmacy, Center for Drug Research, Ludwig-Maximilians University, Munich, Germany;(3) Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines;(4) Department of Membrane Biochemistry, Max-Planck Institute of Biochemistry, Munich, Germany;(5) Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines;(6) Physics Department and Center for NanoScience, Ludwig-Maximilians University, Geschwister- Scholl-Platz 1, 80539 Munich, Germany; |
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Abstract: | Understanding the mechanisms involved in apoptosis has been an area of extensive study due to its critical role in the development
and homeostasis of multi-cellular organisms. Our special interest lies in understanding the apoptosis of tumor cells which
is mediated by novel potential drugs. Cephalostatin 1 is a marine compound that can induce apoptosis in leukemic cells in
a dose- and time-dependent manner even at nano-molar concentrations using a recently discovered pathway that excludes the
receptor-mediated pathway and which includes both the mitochondrial and endoplasmic reticulum pathways (Dirsch et al., Cancer
Res 63:8869–8876, 2003; López-Antón et al., J Biol Chem 28:33078–33086, 2006). In this paper, the methods and tools of Petri net theory are used to construct, analyze, and validate a discrete Petri
net model for cephalostatin 1-induced apoptosis. Based on experimental results and literature search, we constructed a discrete
Petri net consisting of 43 places and 59 transitions. Standard Petri net analysis techniques such as structural and invariant
analyses and a recently developed modularity analysis technique using maximal abstract dependent transition sets (ADT sets)
were employed. Results of these analyses revealed model consistency with known biological behavior. The sub-modules represented
by the ADT sets were compared with the functional modules of apoptosis identified by Alberghina and Colangelo (BMC Neurosci
7(Suppl 1):S2, 2006). |
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