TY - GEN
T1 - A computational system for investigating chemotaxis-based cell aggregation
AU - Eyiyurekli, Manolya
AU - Lelkes, Peter I.
AU - Breen, David E.
PY - 2007
Y1 - 2007
N2 - We have developed a software system that simulates chemotaxis-based cell aggregation in 2D. The model implemented within the system consists of such cell behaviors as chemical diffusion/detection, motility, proliferation, adhesion and life cycle stages. Each virtual cell detects the state of the environment, and responds to the environment based on a pre-defined "program" and its own internal state. Cells are discrete units that are located on a grid, exist in discrete states (e.g. active or dying) and perform discrete tasks (e.g. divide and attach), but they also contain and are affected by continuous quantities (e.g. chemoattractant concentrations, gradients, age and velocities). This paper provides an overview of our chemotaxis-based aggregation model and details the algorithms required to perform chemotaxis-based cell aggregation simulation. A number of biological studies are being conducted with the system. They include fine-tuning the model parameters to reproduce in vitro PC12 cell aggregation experiments and parametric studies that demonstrate the effect that the model's components have on cell aggregation dynamics.
AB - We have developed a software system that simulates chemotaxis-based cell aggregation in 2D. The model implemented within the system consists of such cell behaviors as chemical diffusion/detection, motility, proliferation, adhesion and life cycle stages. Each virtual cell detects the state of the environment, and responds to the environment based on a pre-defined "program" and its own internal state. Cells are discrete units that are located on a grid, exist in discrete states (e.g. active or dying) and perform discrete tasks (e.g. divide and attach), but they also contain and are affected by continuous quantities (e.g. chemoattractant concentrations, gradients, age and velocities). This paper provides an overview of our chemotaxis-based aggregation model and details the algorithms required to perform chemotaxis-based cell aggregation simulation. A number of biological studies are being conducted with the system. They include fine-tuning the model parameters to reproduce in vitro PC12 cell aggregation experiments and parametric studies that demonstrate the effect that the model's components have on cell aggregation dynamics.
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=purepublist2023&SrcAuth=WosAPI&KeyUT=WOS:000250749000104&DestLinkType=FullRecord&DestApp=WOS
U2 - 10.1007/978-3-540-74913-4_104
DO - 10.1007/978-3-540-74913-4_104
M3 - Conference contribution
SN - 9783540749127
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1034
EP - 1049
BT - Advances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings
A2 - Costa, FAE
A2 - Rocha, LM
A2 - Costa, E
A2 - Harvey, I
A2 - Coutinho, A
PB - Springer Verlag
T2 - 9th European Conference on Advance in Artificial Life, ECAL 2007
Y2 - 10 September 2007 through 14 September 2007
ER -