Michael Murrell
Assistant Professor
2142 Engineering Centers Building
1550 Engineering Drive
Madison, WI 53706
E-mail: mmurrell2@wisc.edu
- Postdoctoral Fellow 2009-2013, University of Chicago
- Visiting Scholar, 2009, Institut Curie (France)
- PhD 2009, MIT
- BS 2004, Johns Hopkins University
- Molecular, Cellular, and Tissue Biomechanics
- Systems Biology
- Cellular Engineering
- Cell Motility and Tissue Dynamics
- M. Murrell, M. Gardel, F-actin Buckling Coordinates Contractility and Severing in a Biomimetic Actomyosin Cortex, Proceedings of the National Academy of Sciences, Vol 109, no. 51, 2012.
- M. Murrell*, L.L. Pontani*, K. Guevorkian, D. Cuvelier , P. Nassoy and C. Sykes (2011), Spreading Dynamics of Biomimetic Actin Cortices, Biophysical Journal, Vol 100, Issue 6, pp 1400-1409
- M. Murrell, RD. Kamm, and PT. Matsudaira (2011), Tension, Cell Damage, and Free Space in a Microfluidic Wound Healing Assay, PLoS ONE6(9):e24283.doi:10.1371/journal.pone.0024283
- M. Murrell, R.D. Kamm and P.T. Matsudaira (2011), Substrate Viscosity Enhances Correlation in Epithelial Cell Motion, Biophysical Journal, Vol 101, Issue 2, pp 297-306
- M. Socolovsky*, M. Murrell*, Y. Liu, R. Pop, E. Porpiglia, A. Levchenko (2007), Negative Autoregulation by FAS mediates robust erythropoiesis, PLOS Biology, Vol 5, Issue 10, pp 2297-2311
- M. Murrell, K.J. Yarema, A.L. Levchenko (2005), Computational Modeling in Glycosylation, Handbook of Carbohydrate Engineering, Taylor and Francis
- M. Murrell, K.J. Yarema, A.L. Levchenko (2004), The Systems Biology of Glycosylation, ChemBioChem, Vol 5, Issue 10, pp 1334 - 1347
Selected Awards, Honors and Societies
- 2010-2012 Postdoctoral Fellowship, Institute For Complex Adaptive Matter
- 2005-2008 NIH Biotechnology Training Grant
- 2004 MIT Presidential Fellow
My interests are in understanding the mechanical principles that drive major cellular life processes through the design and engineering of novel biomimetic systems. To this end, I develop simplified and tractable experimental models of the mechanical machinery within the cell with the goal of reproducing complex cellular behavior, such as cell division and cell migration. I then combine these “bottom-up”” experimental models with concepts from soft matter physics to gain a fundamental understanding of the influence of mechanics on cell and tissue behavior. In parallel, I hope to identify new design principles from biology which can be used to create novel technologies.
