Protein Short-Time Diffusion in a Naturally Crowded Environment
Author(s) -
Marco Grimaldo,
H. F. López,
Christian Beck,
Felix RoosenRunge,
Martine Moulin,
Juliette M. Devos,
Valérie Laux,
Michael Härtlein,
Stefano Da Vela,
Ralf Schweins,
Alessandro Mariani,
Fajun Zhang,
JeanLouis Barrat,
Martin Oettel,
V. Trevor Forsyth,
Tilo Seydel,
Frank Schreiber
Publication year - 2019
Publication title -
the journal of physical chemistry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.9b00345
Subject(s) - macromolecular crowding , chemical physics , diffusion , nanosecond , dispersity , macromolecule , colloid , suspension (topology) , particle (ecology) , radius , hydrodynamic radius , materials science , nanoparticle , chemistry , nanotechnology , statistical physics , physics , dynamic light scattering , computer science , thermodynamics , optics , geology , mathematics , computer security , laser , oceanography , biochemistry , homotopy , polymer chemistry , pure mathematics
The interior of living cells is a dense and polydisperse suspension of macromolecules. Such a complex system challenges an understanding in terms of colloidal suspensions. As a fundamental test we employ neutron spectroscopy to measure the diffusion of tracer proteins (immunoglobulins) in a cell-like environment (cell lysate) with explicit control over crowding conditions. In combination with Stokesian dynamics simulation, we address protein diffusion on nanosecond time scales where hydrodynamic interactions dominate over negligible protein collisions. We successfully link the experimental results on these complex, flexible molecules with coarse-grained simulations providing a consistent understanding by colloid theories. Both experiments and simulations show that tracers in polydisperse solutions close to the effective particle radius R eff = ⟨ R i 3 ⟩ 1/3 diffuse approximately as if the suspension was monodisperse. The simulations further show that macromolecules of sizes R > R eff ( R < R eff ) are slowed more (less) effectively even at nanosecond time scales, which is highly relevant for a quantitative understanding of cellular processes.
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