TY - GEN
T1 - Integrated cellular and gene interaction model for cell migration in embryonic development
AU - Nguyen, Hien
AU - Song, Mingzhou Joe
PY - 2010
Y1 - 2010
N2 - The relationship between cellular behaviors and protein concentrations is central for embryonic development. An integrated cellular and gene interaction model is proposed to reveal this relationship. Protein concentrations vary spatiotemporally based on locations of cell, gene-gene interactions and the diffusion mechanism. On the other hand, cellular behaviors differentiate spatially, driven by cell-cell communication and protein concentrations in each cell. The model integrates a variation of the reaction-diffusion equation at the gene expression level and a particle-based cellular model based on the differential adhesion hypothesis for cell sorting at the cellular level. Cell sorting based on the adhesion hypothesis and patterns of inhibitory genes were simulated to illustrate the model. This model provides a more comprehensive basis to explain pattern formation during embryogenesis, than existing approaches that ignore the cellular components.
AB - The relationship between cellular behaviors and protein concentrations is central for embryonic development. An integrated cellular and gene interaction model is proposed to reveal this relationship. Protein concentrations vary spatiotemporally based on locations of cell, gene-gene interactions and the diffusion mechanism. On the other hand, cellular behaviors differentiate spatially, driven by cell-cell communication and protein concentrations in each cell. The model integrates a variation of the reaction-diffusion equation at the gene expression level and a particle-based cellular model based on the differential adhesion hypothesis for cell sorting at the cellular level. Cell sorting based on the adhesion hypothesis and patterns of inhibitory genes were simulated to illustrate the model. This model provides a more comprehensive basis to explain pattern formation during embryogenesis, than existing approaches that ignore the cellular components.
UR - https://www.scopus.com/pages/publications/79952036006
UR - https://www.scopus.com/inward/citedby.url?scp=79952036006&partnerID=8YFLogxK
U2 - 10.1109/BIBMW.2010.5703804
DO - 10.1109/BIBMW.2010.5703804
M3 - Conference contribution
AN - SCOPUS:79952036006
SN - 9781424483044
T3 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
SP - 229
EP - 233
BT - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
T2 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Y2 - 18 December 2010 through 21 December 2010
ER -