Combining Computational Fluid Dynamics and Electron Tomography to Study the Mechanics of Kinetochore Microtubules

ORAL

Abstract

The accurate segregation of chromosomes, and subsequent cell division, in Eukaryotic cells is achieved by the interactions of an assembly of microtubules (MTs) and motor-proteins, known as the mitotic spindle. We use a combination of our computational platform for simulating cytoskeletal assemblies and our structural data from high-resolution electron tomography of the mitotic spindle, to study the kinetics and mechanics of MTs in the spindle, and their interactions with chromosomes during chromosome segregation in the first cell division in C.elegans embryo. We focus on kinetochore MTs, or KMTs, which have one end attached to a chromosome. KMTs are thought to be a key mechanical component in chromosome segregation. Using exploratory simulations of MT growth, bending, hydrodynamic interactions, and attachment to chromosomes, we propose a mechanical model for KMT-chromosome interactions that reproduces observed KMT length and shape distributions from electron tomography. We find that including detailed hydrodynamic interactions between KMTs is essential for agreement with the experimental observations.

Presenters

  • 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

Authors

  • Ehssan Nazockdast

    Applied Physical Sciences, University of North Carolina, New York Univ NYU

  • Stefanie Redemann

    University of Virginia

  • Sebastian Fürthauer

    Center for Computational Biology, Flatiron Institute, Simons Foundation

  • Thomas Mueller-Reichert

    Technische Universität Dresden

  • 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