Quantitative models of developmental pattern formation.

@article{citeulike:842785, abstract = {Pattern formation in developing organisms can be regulated at a variety of levels, from gene sequence to anatomy. At this level of complexity, mechanistic models of development become essential for integrating data, guiding future experiments, and predicting the effects of genetic and physical perturbations. However, the formulation and analysis of quantitative models of development are limited by high levels of uncertainty in experimental measurements, a large number of both known and unknown system components, and the multiscale nature of development. At the same time, an expanding arsenal of experimental tools can constrain models and directly test their predictions, making the modeling efforts not only necessary, but feasible. Using a number of problems in fruit fly development, we discuss how models can be used to test the feasibility of proposed patterning mechanisms and characterize their systems-level properties.}, address = {Department of Chemical Engineering and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544.}, author = {Reeves, G. T. and Muratov, C. B. and Sch\"{u}pbach, T. and Shvartsman, S. Y. }, citeulike-article-id = {842785}, doi = {10.1016/j.devcel.2006.08.006}, issn = {1534-5807}, journal = {Dev Cell}, keywords = {expression\_pattern, modeling, pattern, review}, month = {September}, number = {3}, pages = {289--300}, posted-at = {2007-12-05 21:05:56}, priority = {0}, title = {Quantitative models of developmental pattern formation.}, url = {http://dx.doi.org/10.1016/j.devcel.2006.08.006}, volume = {11}, year = {2006} }

TY - JOUR ID - citeulike:842785 L3 - citeulike-article-id:842785 TI - Quantitative models of developmental pattern formation. JF - Dev Cell VL - 11 IS - 3 SP - 289 EP - 300 AD - Department of Chemical Engineering and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544. SN - 1534-5807 N2 - Pattern formation in developing organisms can be regulated at a variety of levels, from gene sequence to anatomy. At this level of complexity, mechanistic models of development become essential for integrating data, guiding future experiments, and predicting the effects of genetic and physical perturbations. However, the formulation and analysis of quantitative models of development are limited by high levels of uncertainty in experimental measurements, a large number of both known and unknown system components, and the multiscale nature of development. At the same time, an expanding arsenal of experimental tools can constrain models and directly test their predictions, making the modeling efforts not only necessary, but feasible. Using a number of problems in fruit fly development, we discuss how models can be used to test the feasibility of proposed patterning mechanisms and characterize their systems-level properties. KW - expression_pattern KW - modeling KW - pattern KW - review AU - Reeves, GT AU - Muratov, CB AU - Schüpbach, T AU - Shvartsman, SY PY - 2006/09// UR - http://dx.doi.org/10.1016/j.devcel.2006.08.006 ER -