Diffusion of an enzyme: the role of fluctuation-induced hydrodynamic coupling

EPL EPL Association 119:4 (2017) 40002

Authors:

P Illien, Tunrayo Adeleke-Larodo, Ramin Golestanian

Abstract:

The effect of conformational fluctuations of modular macromolecules, such as enzymes, on their diffusion properties is addressed using a simple generic model of an asymmetric dumbbell made of two hydrodynamically coupled subunits. It is shown that equilibrium fluctuations can lead to an interplay between the internal and the external degrees of freedom and give rise to negative contributions to the overall diffusion coefficient. Considering that this model enzyme explores a mechanochemical cycle, we show how substrate binding and unbinding affects its internal fluctuations, and how this can result in an enhancement of the overall diffusion coefficient of the molecule. These theoretical predictions are successfully confronted with recent measurements of enzyme diffusion in dilute conditions using fluorescence correlation spectroscopy.

Trial wave functions for a Composite Fermi liquid on a torus

(2017)

Authors:

M Fremling, N Moran, JK Slingerland, SH Simon

Far-field theory for trajectories of magnetic ellipsoids in rectangular and circular channels

(2017)

Authors:

Daiki Matsunaga, Andreas Zöttl, Fanlong Meng, Ramin Golestanian, Julia M Yeomans

Numerical Simulation of Real-Time Deformability Cytometry To Extract Cell Mechanical Properties.

ACS biomaterials science & engineering 3:11 (2017) 2962-2973

Authors:

M Mokbel, D Mokbel, A Mietke, N Träber, S Girardo, O Otto, J Guck, S Aland

Abstract:

The measurement of cell stiffness is an important part of biological research with diverse applications in biology, biotechnology and medicine. Real-time deformability cytometry (RT-DC) is a new method to probe cell stiffness at high throughput by flushing cells through a microfluidic channel where cell deformation provides an indicator for cell stiffness (Otto et al. Real-time deformability cytometry: on-the-fly cell 725 mechanical phenotyping. Nat. Methods 2015, 12, 199-202). Here, we propose a full numerical model for single cells in a flow channel to quantitatively relate cell deformation to mechanical parameters. Thereby the cell is modeled as a viscoelastic material surrounded by a thin shell cortex, subject to bending stiffness and cortical surface tension. For small deformations our results show good agreement with a previously developed analytical model that neglects the influence of cell deformation on the fluid flow (Mietke et al. Extracting Cell Stiffness from Real-Time Deformability Cytometry: 728 Theory and Experiment. Biophys. J. 2015, 109, 2023-2036). Including linear elasticity as well as neo-Hookean hyperelasticity, our model is valid in a wide range of cell deformations and allows to extract cell stiffness for largely deformed cells. We introduce a new measure for cell deformation that is capable to distinguish between deformation effects stemming from cell cortex and cell bulk elasticity. Finally, we demonstrate the potential of the method to simultaneously quantify multiple mechanical cell parameters by RT-DC.

Entrainment and scattering in microswimmer--colloid interactions

(2017)

Authors:

Henry Shum, Julia M Yeomans