Crowding effects on diffusion in solutions and cells.

By J. Dix, A. Verkman. Annual Review of Biophysics, 2008

610 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/37853cdad8337b6e0c030c9a5c400a70e64404e5

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In Atomic and Molecular Physics, and Optics

In Biomedical Engineering

In Molecular Biology

Citations in the corpus

Protein Crowding in Lipid Bilayers Gives Rise to Non-Gaussian Anomalous Lateral Diffusion of Phospholipids and Proteins (2016, background): “argue that crowding leads to the slowing-down of diffusion in terms of an effective diffusivity in an otherwise Brownian diffusion scenario [48], others suggest that diffusion becomes anomalous instead [48–58].”
Diffusion, Crowding & Protein Stability in a Dynamic Molecular Model of the Bacterial Cytoplasm (2010, background): “macromolecules, research attention is increasingly being directed at uncovering the extent to which behavior observed in vitro is likely to reflect that occurring in vivo [1,2].”
Induced fit, conformational selection and independent dynamic segments: an extended view of binding events (2010, neutral): “Molecular crowding of the extremely packed cellular environment generally promotes the association of molecules via the excluded volume effect [55,57-59].”
A BIRD’S EYE VIEW: TRACKING SLOW NANOMETER-SCALE MOVEMENTS OF SINGLE MOLECULAR NANO-ASSEMBLIES (2010, neutral): “, Monte Carlo) simulations can generate random walks and provide a powerful tool to help assess the expected MSD curve and the processes and properties underlying a random walker’s behavior (Dix and Verkman, 2008; Qian et al., 1991; Ritchie et al., 2005; Saxton and Jacobson, 1997).”
Stochastic modelling of reaction–diffusion processes: algorithms for bimolecular reactions (2009, background): “Cellular cytoplasm and cell membranes are crowded with proteins and lipids, and the molecular crowding is difficult to model if macromolecules are approximated as points [8].”
Stochastic models of intracellular transport (2013, background): “…consequence of molecular crowding is that it hinders diffusion, although there is an ongoing debate regarding to what extent this results in anomalous diffusion rather than a simple reduction in the normal diffusion coefficient (Banks and Fradin, 2005; Dix and Verkman, 2008; Weiss et al., 2004).”
Anomalous transport in the crowded world of biological cells (2013, methodology): “Ficoll-70 served as crowding agent as well, being an inert, highly branched polysaccharide of approximately spherical shape with a hydrodynamic radius of 5.5 nm. Verkman et al [159, 263] characterized the transport of differently sized tracers in Ficoll-crowded solution using FCS with an illuminatio”
The bacterial cytoplasm has glass-like properties and is fluidized by metabolic activity (2013, background): “Specific interactions with other cellular components are known to affect the motion of components endogenous to the cytoplasm, altering motion in an unpredictable manner (Nenninger et al., 2010) and making normal diffusion appear anomalous (Dix and Verkman, 2008).”
Fundamental Limits to Cellular Sensing (2015, background): “In fact, inside the crowded environment of the cell, σ/λ is probably an underestimate, because ka is set by the diffusion constant at short length and timescales, corresponding to that of proteins in water, while kD is set by the long-time diffusion constant of proteins inside crowdedmedia, which is”