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. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM029123-24A2
Application #
7102100
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Haynes, Susan R
Project Start
1980-09-01
Project End
2010-03-31
Budget Start
2006-04-01
Budget End
2007-03-31
Support Year
24
Fiscal Year
2006
Total Cost
$295,869
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Gou, Jia; Lin, Lin; Othmer, Hans G (2018) A Model for the Hippo Pathway in the Drosophila Wing Disc. Biophys J 115:737-747
Wu, Hao; de León, Marco Avila Ponce; Othmer, Hans G (2018) Getting in shape and swimming: the role of cortical forces and membrane heterogeneity in eukaryotic cells. J Math Biol 77:595-626
Lin, Lin; Othmer, Hans G (2017) Improving Parameter Inference from FRAP Data: an Analysis Motivated by Pattern Formation in the Drosophila Wing Disc. Bull Math Biol 79:448-497
Kim, Yangjin; Jeon, Hyejin; Othmer, Hans (2017) The Role of the Tumor Microenvironment in Glioblastoma: A Mathematical Model. IEEE Trans Biomed Eng 64:519-527
Kan, Xingye; Lee, Chang Hyeong; Othmer, Hans G (2016) A multi-time-scale analysis of chemical reaction networks: II. Stochastic systems. J Math Biol 73:1081-1129
Sanft, Kevin R; Othmer, Hans G (2015) Constant-complexity stochastic simulation algorithm with optimal binning. J Chem Phys 143:074108
Wang, Qixuan; Othmer, Hans G (2015) The performance of discrete models of low Reynolds number swimmers. Math Biosci Eng 12:1303-20
Kim, Yangjin; Othmer, Hans G (2015) Hybrid models of cell and tissue dynamics in tumor growth. Math Biosci Eng 12:1141-56
Averina, Viktoria A; Othmer, Hans G; Fink, Gregory D et al. (2015) A mathematical model of salt-sensitive hypertension: the neurogenic hypothesis. J Physiol 593:3065-75
Umulis, David M; Othmer, Hans G (2015) The role of mathematical models in understanding pattern formation in developmental biology. Bull Math Biol 77:817-45

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