Dynamic Pattern in Chemically Reacting Systems

化学反应系统中的动态模式

基本信息

批准号：
7215583
负责人：
HANS G OTHMER
金额：
$ 29.55万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
1980
资助国家：
美国
起止时间：
1980-09-01 至 2010-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7215583
关键词：
Affect Agar Anterior Bacteria Behavior Biological Biological Assay Cell division Cells Characteristics Chemotactic Factors Computational Technique Development Developmental Biology Diffusion Dorsal Dorsal-Ventral Pattern Formation Drosophila genus Embryonic Development Ensure Environment Equation Escherichia coli Evolution Feedback Growth Individual Limb Development Location Microbial Biofilms Microscopic Modeling Motor Numbers Nutrient Output Pathway interactions Pattern Pattern Formation Perivitelline Space Population Process Protein Overexpression Range Relative (related person)Research Role Shadowing (Histology)Shapes Signal Transduction Signal Transduction Pathway Signaling Molecule Spottings Staging Suspension substance Suspensions System Techniques Testing Time Transduction Gene Variant Wing Work base cell growth extracellular genetic regulatory protein improved insight motor control receptor receptor expression size

项目摘要

DESCRIPTION (provided by applicant): The long range objectives of this research are to further our understanding of signal transduction and gene control networks, particularly as they relate to pattern formation in developmental biology. The work involves analysis of specific biological systems, as well as the development of general analytical and computational techniques. The (major projects are: (1) studies on pattern formation in Drosophila and limb development, and (2) studies on signal transduction, motor control and pattern formation in E. coli. The aim under (1) are the development, analysis and testing of models of patterning along the dorsal-ventral axes in early embryonic development of Drosophila, and of patterning and the effects of growth and shape changes in the wing discs in Drosophila The aims under (2) are to understand the origin of high gain in signal transduction in E. coli by analyzing models of receptor clustering, to incorporate new receptor models into a complete model for the chemotactic signal transduction pathway, to integrate this model with a model for the control of the flagellar motor, and to understand macroscopic, population-level spatial patterns using detailed models of individual behavior. In both of these projects a significant task will be to understand how the topology of signal transduction and gene control networks affects the stochastic fluctuations of components in the network, and thereby to understand what patterns of interactions ensure reliable outputs. The research in (1) will advance our understanding of basic processes in developmental biology such as signal transduction, gene control, and pattern formation. A better understanding of these fundamental processes will contribute to a better understanding of how systems respond to their environment, how normal development can be disrupted and perhaps how abnormal development can be corrected. The results of the work in (2) will contribute to our understanding of how extracellular signals are transduced into motor control in bacteria, how the microscopic behavior of individuals is reflected in population-level descriptions, and how nutrient supply and chemotactic factors control pattern formation. This result will provide insight into factors that are involved in the formation of biofilms.

描述（由申请人提供）：这项研究的远程目标是进一步了解信号转导和基因控制网络，尤其是与发育生物学中的模式形成有关的情况。这项工作涉及对特定生物系统的分析，以及一般分析和计算技术的发展。 The (major projects are: (1) studies on pattern formation in Drosophila and limb development, and (2) studies on signal transduction, motor control and pattern formation in E. coli. The aim under (1) are the development, analysis and testing of models of patterning along the dorsal-ventral axes in early embryonic development of Drosophila, and of patterning and the effects of growth and shape changes in the wing discs in Drosophila The aims under （2）是通过分析受体聚类模型来了解大肠杆菌中高增益的起源，将新的受体模型纳入一个完整的趋化性信号传输途径的模型，以将模型与控制鞭毛运动的模型相结合，并了解宏观，人口层次的空间模型，以了解各个模型，以了解详细的模型。转导和基因控制网络会影响网络中组成部分的随机波动，从而了解哪些相互作用的模式可确保（1）中的研究将使我们对发展生物学的基本过程的理解，例如信号传递，诸如基因控制和模式的更好地理解的方式。可以纠正（2）中的工作结果，这将有助于我们对细胞外的细胞外信号的理解，在细菌中如何转化为运动，个人的微观行为在人群级描述中如何反映在人口级别中，以及养分供应和趋化因素如何控制。