DocumentCode :
391261
Title :
A hybrid system model of planar cell polarity signaling in Drosophila melanogaster wing epithelium
Author :
Ghosh, Ronojoy ; Amonlirdviman, Keith ; Tomlin, Claire J.
Author_Institution :
Dept. of Aeronaut. & Astronaut., Stanford Univ., CA, USA
Volume :
2
fYear :
2002
fDate :
10-13 Dec. 2002
Firstpage :
1588
Abstract :
A hybrid system model of a 4-protein signaling mechanism within an array of cells in the Drosophila melanogaster (fruit fly) wing is presented and analyzed. While the protein interaction model between cells is biologically fairly well understood, the interaction resulting in spatial distribution of proteins within each cell is not. We propose a weak interaction mechanism between proteins within each cell, and we incorporate this with a model of the protein interaction between cells to form a hybrid model, in which the continuous growth and decay of proteins is modeled using continuous state linear differential equations, and the discrete switches which activate and deactivate proteins are modeled using finite state machines. We then present a preliminary model validation: equilibrium analysis of the hybrid model provides allowable parameter ranges for growth and decay rates, as well as conditions on the cell network boundary conditions, for the biologically feasible steady state protein concentrations to occur. We conclude with a comparison of our analytical results against experimental image data obtained in collaboration with the Stanford University School of Medicine: we present the design of our image analysis algorithm and results for time stamped images of protein localization within the Drosophila wing.
Keywords :
biocybernetics; differential equations; finite state machines; physiological models; continuous state linear differential equations; finite state machines; hybrid system model; hybrid systems modeling; image analysis; planar cell polarity signaling; protein interaction; weak interaction mechanism; Algorithm design and analysis; Automata; Biological system modeling; Boundary conditions; Cells (biology); Differential equations; Image analysis; Proteins; Signal analysis; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7516-5
Type :
conf
DOI :
10.1109/CDC.2002.1184746
Filename :
1184746
Link To Document :
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