Ciliary Pumps

ORAL

Abstract

Motile cilia are microscopic hair-like structures that play important roles in fluid transport and pumping. However, the relationship between the pumping rates and the cilia organization in flow channels is not quantitatively understood. Here, we develop a computational model aimed at analyzing the transport rate and pumping efficiency of ciliated channels as a function of the cilia organization. Specifically, we use the Brinkman-Stokes equations to model flow through an oscillating porous medium that emulates the ciliary motion. We find a trade-off between the performance of cilia that line the channel walls and that of long cilia that cover the channel. The latter generate weaker flows at zero pressure gradients but outperform short cilia in the presence of adverse pressure gradients. This quantitative framework suggests that different cilia structures and organizations bring distinct advantages to the pumping organs depending on their surrounding and function.

Presenters

  • Feng Ling

    Univ of Southern California, University of Southern California

Authors

  • Feng Ling

    Univ of Southern California, University of Southern California

  • Hanliang Guo

    Aerospace & Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1191, Univ of Southern California, University of Southern California

  • David Stein

    Simons Foundation, Flatiron Institute, Simons Foundation, Flatiron Institute

  • Janna C Nawroth

    Emulate, Inc., Emulate Inc.

  • Michael J Shelley

    Center for Computational Biology, Flatiron Institute, Simons Foundation, New York 10010, Courant Institute, Simons Foundation, Center for Computational Biology, Flatiron Institute, Simons Foundation, Courant Institute of Mathematical Sciences, New York Universy, New York Univ NYU, Applied Mathematics Laboratory, Courant Institute, New York University, Flatiron Institute, Simons Foundation, New York Univ NYU & Flatiron Institute, New York Univ NYU, Flatiron Institute, New York University, Flatiron Institute , Courant Institute, NYU, Center for Computational Biology, Flatiron Institute, New York

  • Eva Kanso

    Aerospace & Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1191, Univ of Southern California, University of Southern California