A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks

Author(s)

Trepode, Nestor Walter ; Armelin, Hugo Aguirre ; Bittner, Michael ; Barrera, Junior ; Gubitoso, Marco Dimas ; Hashimoto, Ronaldo Fumio

• Document type: Journal article
• Source: EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY; v. N/A, n. 1, p. 11-pg., 2007-12-01.

Abstract

The cell division cycle comprises a sequence of phenomena controlled by a stable and robust genetic network. We applied a probabilistic genetic network (PGN) to construct a hypothetical model with a dynamical behavior displaying the degree of robustness typical of the biological cell cycle. The structure of our PGN model was inspired in well-established biological facts such as the existence of integrator subsystems, negative and positive feedback loops, and redundant signaling pathways. Our model represents genes interactions as stochastic processes and presents strong robustness in the presence of moderate noise and parameters fluctuations. A recently published deterministic yeast cell-cycle model does not perform as well as our PGN model, even upon moderate noise conditions. In addition, self stimulatory mechanisms can give our PGN model the possibility of having a pacemaker activity similar to the observed in the oscillatory embryonic cell cycle. Copyright (C) 2007 NestorWalter Trepode et al. (AU)

• FAPESP's process: 03/02717-8 - Molecular deconstruction of the cell cycle control in the mouse Y1 adrenocortical cell line
• Grantee: Hugo Aguirre Armelin
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 05/00587-5 - Mesh (graph) modeling and techniques of pattern recognition: structure, dynamics and applications
• Grantee: Roberto Marcondes Cesar Junior
• Support Opportunities: Research Projects - Thematic Grants