Title :
System identification of hunchback protein patterning in early drosophila embryogenesis
Author :
Aswani, Anil ; Guturu, Harendra ; Tomlin, Claire
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
Abstract :
Early patterning in the Drosophila melanogaster embryo occurs through a complicated network of interactions involving transcription factor proteins and the mRNA of their target genes. One such system is the pattern of hunchback mRNA and its regulation by Bicoid and Kru¿ppel proteins. This system is well-studied, but there is disagreement amongst biologists on how exactly hunchback expression is regulated. We attempt here to provide evidence to distinguish between two models in contention, through system identification. Our general approach is to do nonlinear regression on a parametric, nonlinear partial differential equation model which incorporates transcription, diffusion, and degradation. We perform the regression, analyze the results and then interpret the results in the biological context. We also compare our results to previous work on this system.
Keywords :
biology computing; macromolecules; partial differential equations; proteins; regression analysis; Bicoid proteins; Kru¿ppel proteins; biological context; drosophila melanogaster embryo; early drosophila embryogenesis; hunchback protein patterning; mRNA; nonlinear regression; partial differential equation model; system identification; transcription factor proteins; Contracts; Embryo; Interference; Processor scheduling; Proteins; Scheduling algorithm; Spread spectrum communication; System identification; Utility programs; Wireless networks;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400645