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Alex Mogilner

Professor

aimogilner (at) ucdavis (dot) edu

Office

2150 Math Sci Bldg

## Research Interests:

I am interested in how cells move and divide. Modern sophisticated methods of microscopy, biochemistry, biophysics and genetics generate increasing volumes of quantitative data about cell behavior. Any cellular process involving more than a few types of molecules is too complicated to understand without a mathematical model to expose assumptions and to frame the qualitative picture in quantitative terms. Our lab uses mathematical and biophysical modeling to understand cell movements and cell division. We collaborate with experimentalists directly or use available data from the literature to develop models of biological phenomena in terms of differential equations and/or stochastic processes, analyze and simulate the models and use the results to predict observable data and plan future experiments. We are current working on the following projects: (i) force generation by growing actin network in migrating cells; (ii) interactions of microtubules with actin governing cell motility; (iii) intracellular transport by multiple molecular motors; (iv) mechanisms ensuring speed and accuracy of mitotic spindle self-assembly; (v) principles of self-organization of rapidly crawling animal cells.

## Publications:

*Last updated 5/21/2010*

C. I. Lacayo, Z. Pincus, M. M. VanDuijn, C. A. Wilson, D. A. Fletcher, F. B. Gertler, A. Mogilner, J. A. Theriot, Emergence of Large-Scale Cell Morphology and Movement from Local Actin Filament Growth Dynamics, PLoS Biology, 5 e233 (2007)

M. M. Kozlov, A. Mogilner, Model of polarization and bi-stability of cell fragments, Biophys. J., 93 3811-3819 (2007)

K. Keren, Z. Pincus, G. M. Allen, E. L. Barnhart, G. Marriott, A. Mogilner, J. A. Theriot, Mechanism of shape determination in motile cells, Nature, 453 475-480 (2008)

I. L. Novak, B. M. Slepchenko, A. Mogilner, Quantitative analysis of G-actin transport in motile cells, Biophys. J., 95 1627-1638 (2008)

Choi CK, Vicente-Manzanares M, Zareno J, Whitmore LA, Mogilner A, Horwitz AF. Actin and alpha-actinin orchestrate the assembly and maturation of nascent adhesions in a myosin II motor-independent manner. Nat. Cell Biol., 10 1039-1050(2008)

R. Wollman, G. Civelekoglu-Scholey, J. M. Scholey, A. Mogilner, Reverse engineering of force integration during mitosis in the Drosophila embryo. Mol. Syst. Biol., 4: 195 (2008)

B. Rubinstein, M. F. Fournier, K. Jacobson, A. Verkhovsky, A. Mogilner. Actin-myosin viscoelastic flow in the keratocyte lamellipod. Biophys. J., 97 1853-1863 (2009)

Keren K, Yam PT, Kinkhabwala A, Mogilner A, Theriot J. Intracellular fluid flow in rapidly moving cells, Nature Cell Biol., 11 1219-1224 (2009).

M J Dayel, O Akin, M Landeryou, V I Risca, A Mogilner, R D Mullins, In Silico Reconstitution of Actin-Based Symmetry Breaking and Motility, PLoS Biology, 7e1000201 (2009).

Raja Paul, Roy Wollman, William T. Silkworth, Isaac K. Nardi, Daniela Cimini, Alex Mogilner. Computer simulations predict that chromosome movements and rotations accelerate mitotic spindle assembly without compromising accuracy, PNAS, 106: 15708-1513 (2009).

N. P. Ferenz, R. Paul, C. Fagerstrom, A. Mogilner, P. Wadsworth, Dynein Antagonizes Eg5 by Crosslinking and Sliding Antiparallel Microtubules, Curr. Biol., 19 : 1833-1838 (2009).

A. Mogilner, Mathematics of cell motility: have we got its number? J. Math. Biol. , 58, 105-134 (2009)

A. Mogilner, K. Keren, The shape of motile cells Curr. Biol., 19, R762-R771 (2009)

## Laboratory Personnel:

**System and Computational Biology**

http://www.math.ucdavis.edu/~mogilner/LabPage.html

See: http://www.math.ucdavis.edu/~mogilner/People.html

**Post-doc**

http://www.npb.ucdavis.edu/labs/mogilner/ambarish.html

## Courses:

BIS
20Q
Modeling in Biology

aimogilner (at) ucdavis (dot) edu

Neurobiology, Physiology and Behavior

2150 Math Sci Bldg

I am interested in how cells move and divide. Modern sophisticated methods of microscopy, biochemistry, biophysics and genetics generate increasing volumes of quantitative data about cell behavior. Any cellular process involving more than a few types of molecules is too complicated to understand without a mathematical model to expose assumptions and to frame the qualitative picture in quantitative terms. Our lab uses mathematical and biophysical modeling to understand cell movements and cell division. We collaborate with experimentalists directly or use available data from the literature to develop models of biological phenomena in terms of differential equations and/or stochastic processes, analyze and simulate the models and use the results to predict observable data and plan future experiments. We are current working on the following projects: (i) force generation by growing actin network in migrating cells; (ii) interactions of microtubules with actin governing cell motility; (iii) intracellular transport by multiple molecular motors; (iv) mechanisms ensuring speed and accuracy of mitotic spindle self-assembly; (v) principles of self-organization of rapidly crawling animal cells.

http://www.math.ucdavis.edu/~mogilner/LabPage.html

See: http://www.math.ucdavis.edu/~mogilner/People.html

http://www.npb.ucdavis.edu/labs/mogilner/ambarish.html