The long range objectives of this research are to further our understanding of the dynamical behavior of aggregates of interacting cells, and to apply this knowledge to problems of cell movement and pattern formation in developmental biology and to problems in physiology. The major projects are: (1) studies on pattern formation in development, (2) studies on bacterial signal transduction, chemotaxis and pattern formation, and (3) studies on calcium dynamics in glial cells.
The aims under (1) are to study pattern formation in models of a growing limb and to analyze new models for pattern formation and cell movement in Dictyostelium discoideum.
The aims under (2) are to develop and analyze a model for control of the flagellar motor in E. coli, to use this in simulation of bacterial motion, to analyze stochastic models of motion at the population level, and to study pattern formation in growing colonies. The objectives under (3) are to develop models of calcium dynamics in glial cells and to study the role of spatial heterogeneity of channels and stochastic channel openings in the initiation of calcium waves, and the role of intercellular communication via direct and indirect pathways in determining the type of wave and its amplitude, width, and range of propagation. The research in (1) will advance our understanding of basic processes in developmental biology such as signal transduction, cell and tissue motion, 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 abnormal development corrected, and how certain components of the immune system function. 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. The work in (3) will lead to a better understanding of calcium dynamics in glial cells, and will thereby advance our understanding of neural development, epilepsy and neuro degenerative diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM029123-22
Application #
6525805
Study Section
Special Emphasis Panel (ZRG1-CDF-5 (03))
Program Officer
Onken, James B
Project Start
1980-09-01
Project End
2004-07-31
Budget Start
2002-08-01
Budget End
2003-07-31
Support Year
22
Fiscal Year
2002
Total Cost
$267,036
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Biostatistics & Other Math Sci
Type
Schools of Engineering
DUNS #
168559177
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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