Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks Export

@incollection{citeulike:4012453, abstract = {Genetic regulatory networks (GRNs) control gene expression and are responsible for establishing the regular cellular patterns that constitute an organism. This paper introduces a model of biological development that generates cellular patterns via chemical interactions. GRNs for protein expression are generated and evaluated for their effectiveness in constructing 2D patterns of cells such as borders, patches, and mosaics. Three types of searches were performed: (a) a Monte Carlo search of the GRN space using a utility function based on spatial interestingness; (b) a hill climbing search to identify GRNs that solve specific pattern problems; (c) a search for combinatorial codes that solve difficult target patterns by running multiple disjoint GRNs in parallel. We show that simple biologically realistic GRNs can construct many complex cellular patterns. Our model provides an avenue to explore the evolution of complex GRNs that drive development. Keywords: GRN, cascading GRNs, recurrent GRNs, artificial embryology, development, developmental programs, cellular differentiation, differential equations, hill-climbing.}, author = {Flann, Nicholas and Hu, Jing and Bansal, Mayank and Patel, Vinay and Podgorski, Greg}, citeulike-article-id = {4012453}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11553090_7}, citeulike-linkout-1 = {http://www.springerlink.com/content/5qbnye7pjem8wb2b}, doi = {10.1007/11553090_7}, journal = {Advances in Artificial Life}, keywords = {alife, development, morphogenesis}, pages = {57--66}, posted-at = {2009-05-07 16:37:19}, priority = {2}, title = {Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks}, url = {http://dx.doi.org/10.1007/11553090_7}, year = {2005} }

TY - CHAP ID - citeulike:4012453 L3 - citeulike-article-id:4012453 N2 - Genetic regulatory networks (GRNs) control gene expression and are responsible for establishing the regular cellular patterns that constitute an organism. This paper introduces a model of biological development that generates cellular patterns via chemical interactions. GRNs for protein expression are generated and evaluated for their effectiveness in constructing 2D patterns of cells such as borders, patches, and mosaics. Three types of searches were performed: (a) a Monte Carlo search of the GRN space using a utility function based on spatial interestingness; (b) a hill climbing search to identify GRNs that solve specific pattern problems; (c) a search for combinatorial codes that solve difficult target patterns by running multiple disjoint GRNs in parallel. We show that simple biologically realistic GRNs can construct many complex cellular patterns. Our model provides an avenue to explore the evolution of complex GRNs that drive development. Keywords: GRN, cascading GRNs, recurrent GRNs, artificial embryology, development, developmental programs, cellular differentiation, differential equations, hill-climbing. JF - Advances in Artificial Life EP - 66 TI - Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks SP - 57 KW - alife KW - development KW - morphogenesis AU - Flann, Nicholas AU - Hu, Jing AU - Bansal, Mayank AU - Patel, Vinay AU - Podgorski, Greg PY - 2005/// UR - http://dx.doi.org/10.1007/11553090_7 ER -