A Hierarchy of Instabilities in an Active Material
ORAL
Abstract
The cellular cytoskeleton possesses the remarkable ability to self-organize in space and time into cellular-scale structures that perform biological functions crucial for survival. These structures are composed of polar filaments and molecular motor proteins, which crosslink and exert forces on the filaments, driving the system out of equilibrium. Understanding how the collective dynamics and architecture of these structures arise from the interactions between motor proteins and filaments is an open question not fully addressed for any cytoskeletal system. Here, we consider a system of stabilized microtubules and the motor protein XCTK2, a member of the Kinesin-14 family. We show that these networks undergo a spontaneous bulk contraction on the millimeter length scale, followed by extension leading to a buckling instability with wavelength independent of motor concentration. By combining fluorescence and nonlinear optical techniques, we can measure the microtubule density, motor density, nematic order parameter, and scalar polar order in these networks as a function of space and time and make comparisons with an active fluid model. We find a hierarchy of instabilities in this system, with density buildup followed by alignment, which precedes buckling and polar ordering.
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Presenters
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Peter Foster
Dept. of Physics, MIT, SEAS, Harvard University
Authors
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Peter Foster
Dept. of Physics, MIT, SEAS, Harvard University
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Sebastian Fürthauer
Center for Computational Biology, Flatiron Institute, Simons Foundation
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Bezia Laderman
Harvard University, Department of Physics
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Che-Hang Yu
John A. Paulson School of Engineering and Applied Science; FAS Center for Systems Biology, Harvard University
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Stephanie Ems-McClung
Medical Sciences, Indiana University
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Claire Walczak
Medical Sciences, Indiana University
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Zvonimir Dogic
UCSB, Dept. of Physics, UCSB, Brandeis University, Materials Science Department, University of California, Santa Barbara, Physics, University of California, Santa Barbara
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Michael Shelley
Center for Computational Biology, Simons Foundation; Courant Institute of Mathematical Science, New York University, New York University, Courant Institute/Flatiron Institute, Center for Computational Biology, Flatiron Institute, Simons Foundation, Flatiron Institute, Simons Foundation, Center for Computational Biology, Flatiron Institute, Flatiron Institute, CCB, Flatiron Institute
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Daniel Needleman
John A. Paulson School of Engineering and Applied Science; FAS Center for Systems Biology; Dept. of Molecular and Cellular Biology, Harvard University, Harvard University