3,981 research outputs found
Surfing on protein waves: modeling the bacterial genome partitioning
International audienceControlled motion and positioning of colloids and macromolecular complexes in a fluid, as well as catalytic particles in active environments, are fundamental processes in physics, chemistry and biology. Here we focus on an active biological system for which precise experimental results are available. Our work is fully inspired by studies of one of the most widespread and ancient mechanisms of liquid phase macromolecular segregation and positioning known in nature: bacterial DNA segregation systems. Efficient bacterial chromosome segregation typically requires the coordinated action of a three-component, fueled by adenosine triphosphate machinery called the partition complex. We can distinguish two steps: (i) a process of phase transition [2,3] to built a membraneless region of high protein concentration (partition complex) (ii) the action of molecular motor action upon the complex to create a chemical force. We present a phenomenological model [1] accounting for the dynamics of this system that is also relevant for the physics of catalytic particles in active environments. The model is obtained by coupling simple linear reaction-diffusion equations with a volumetric chemophoresis force field that arises from protein-protein interactions and provides a physically viable mechanism for complex translocation. This description captures experimental observations: dynamic oscillations of complex components, complex separation and symmetrical positioning. The predictions of our model are in agreement with and provide substantial insight into recent experiments. From a non-linear physics view point, this system explores the active separation of matter at micrometric scales with a dynamical instability between static positioning and travelling wave regimes triggered by the dynamical spontaneous breaking of rotational symmetry. We also discuss the phase transition mechanism giving rise to macromolecular assembly of proteins. Our predictions are compared to Super Resolution microscopy and microbiology experiments [1,2,3].[1] Walter J.-C., Dorignac J., Lorman V., Rech J., Bouet J.-Y., Nollmann M., Palmeri J., Parmeggiani A. and Geniet F., Phys. Rev. Lett. 119, 028101 (2017).[2] Debaugny R., Sanchez A., Rech J., Labourdette D., Dorignac J., Geniet F., Palmeri J., Parmeggiani A., Boudsocq, Leberre V., Walter* J.-C. and Bouet* J.-Y Mol. Syst. Biol. 14, e8516 (2018)[3] David G., Walter J.-C., Broedersz C., Dorignac J., Geniet F., Parmeggiani A., Walliser N.-O. and Palmeri J., submitted to Phys. Rev. Lett. [arXiv/1811.09234] (2019)
Surfing on protein waves: modeling the bacterial genome partitioning
International audienceControlled motion and positioning of colloids and macromolecular complexes in a fluid, as well as catalytic particles in active environments, are fundamental processes in physics, chemistry and biology. Here we focus on an active biological system for which precise experimental results are available. Our work is fully inspired by studies of one of the most widespread and ancient mechanisms of liquid phase macromolecular segregation and positioning known in nature: bacterial DNA segregation systems. Efficient bacterial chromosome segregation typically requires the coordinated action of a three-component, fueled by adenosine triphosphate machinery called the partition complex. We can distinguish two steps: (i) a process of phase transition [2,3] to built a membraneless region of high protein concentration (partition complex) (ii) the action of molecular motor action upon the complex to create a chemical force. We mainly present a phenomenological model of reaction-diffusion for two families of proteins [1] describing the step (ii), the dynamics of the segregation of paired chromosomes. We also discuss the step (i) the phase transition mechanism giving rise to macromolecular assembly of proteins. Our predictions are compared to Super Resolution microscopy and microbiology experiments [1,2,3].[1] Walter J.-C., Dorignac J., Lorman V., Rech J., Bouet J.-Y., Nollmann M., Palmeri J., Parmeggiani A. and Geniet F., Phys. Rev. Lett. 119, 028101 (2017).[2] Debaugny R., Sanchez A., Rech J., Labourdette D., Dorignac J., Geniet F., Palmeri J., Parmeggiani A., Boudsocq, Leberre V., Walter* J.-C. and Bouet* J.-Y Mol. Syst. Biol. 14, e8516 (2018)[3] David G., Walter J.-C., Broedersz C., Dorignac J., Geniet F., Parmeggiani A., Walliser N.-O. and Palmeri J., submitted to Phys. Rev. Lett. [arXiv/1811.09234] (2019)
Unwinding Dynamics of a Helically Wrapped Polymer
We study the rotational dynamics of a flexible polymer initially wrapped
around a rigid rod and unwinding from it. This dynamics is of interest in
several problems in biology and constitutes a fundamental instance of polymer
relaxation from a state of minimal entropy. We investigate the dynamics of
several quantities such as the total and local winding angles and metric
quantities. The results of simulations performed in two and three dimensions,
with and without self-avoidance, are explained by a theory based on scaling
arguments and on a balance between frictional and entropic forces. The early
stage of the dynamics is particularly rich, being characterized by three
coexisting phases.Comment: 9 pages, 9 figure
Unwinding relaxation dynamics of polymers
The relaxation dynamics of a polymer wound around a fixed obstacle
constitutes a fundamental instance of polymer with twist and torque and it is
of relevance also for DNA denaturation dynamics. We investigate it by
simulations and Langevin equation analysis. The latter predicts a relaxation
time scaling as a power of the polymer length times a logarithmic correction
related to the equilibrium fluctuations of the winding angle. The numerical
data support this result and show that at short times the winding angle
decreases as a power-law. This is also in agreement with the Langevin equation
provided a winding-dependent friction is used, suggesting that such reduced
description of the system captures the basic features of the problem.Comment: 4 pages, 5 figures. Accepted for publication in Phys. Rev. Let
Rotational dynamics of entangled polymers
Some recent results on the rotational dynamics of polymers are reviewed and
extended. We focus here on the relaxation of a polymer, either flexible or
semiflexible, initially wrapped around a rigid rod. We also study the steady
polymer rotation generated by a constant torque on the rod. The interplay of
frictional and entropic forces leads to a complex dynamical behavior
characterized by non-trivial universal exponents. The results are based on
extensive simulations of polymers undergoing Rouse dynamics and on an
analytical approach using force balance and scaling arguments. The analytical
results are in general in good agreement with the simulations, showing how a
simplified approach can correctly capture the complex dynamical behavior of
rotating polymers.Comment: 13 pages; 7 figures; proceedings of the International Workshop on
"Brownian Motion in Confined Geometries", Max Planck Institute for the
Physics of Complex Systems in Dresden from 17 - 21 March 2014; to appear in
EPJ-S
Probing Hybridization parameters from microarray experiments: nearest neighbor model and beyond
In this article it is shown how optimized and dedicated microarray
experiments can be used to study the thermodynamics of DNA hybridization for a
large number of different conformations in a highly parallel fashion. In
particular, free energy penalties for mismatches are obtained in two
independent ways and are shown to be correlated with values from melting
experiments in solution reported in the literature. The additivity principle,
which is at the basis of the nearest-neighbor model, and according to which the
penalty for two isolated mismatches is equal to the sum of the independent
penalties, is thoroughly tested. Additivity is shown to break down for a
mismatch distance below 5 nt. The behavior of mismatches in the vicinity of the
helix edges, and the behavior of tandem mismatches are also investigated.
Finally, some thermodynamic outlying sequences are observed and highlighted.
These sequences contain combinations of GA mismatches. The analysis of the
microarray data reported in this article provides new insights on the DNA
hybridization parameters and can help to increase the accuracy of
hybridization-based technologies.Comment: 13 pages, 11 figures, 1 table, Supplementary Data available in
Appendi
Motor proteins traffic regulation by supply-demand balance of resources
In cells and in vitro assays the number of motor proteins involved in
biological transport processes is far from being unlimited. The cytoskeletal
binding sites are in contact with the same finite reservoir of motors (either
the cytosol or the flow chamber) and hence compete for recruiting the available
motors, potentially depleting the reservoir and affecting cytoskeletal
transport. In this work we provide a theoretical framework to study,
analytically and numerically, how motor density profiles and crowding along
cytoskeletal filaments depend on the competition of motors for their binding
sites. We propose two models in which finite processive motor proteins actively
advance along cytoskeletal filaments and are continuously exchanged with the
motor pool. We first look at homogeneous reservoirs and then examine the
effects of free motor diffusion in the surrounding medium. We consider as a
reference situation recent in vitro experimental setups of kinesin-8 motors
binding and moving along microtubule filaments in a flow chamber. We
investigate how the crowding of linear motor proteins moving on a filament can
be regulated by the balance between supply (concentration of motor proteins in
the flow chamber) and demand (total number of polymerised tubulin
heterodimers). We present analytical results for the density profiles of bound
motors, the reservoir depletion, and propose novel phase diagrams that present
the formation of jams of motor proteins on the filament as a function of two
tuneable experimental parameters: the motor protein concentration and the
concentration of tubulins polymerized into cytoskeletal filaments. Extensive
numerical simulations corroborate the analytical results for parameters in the
experimental range and also address the effects of diffusion of motor proteins
in the reservoir.Comment: 31 pages, 10 figure
Torque-Induced Rotational Dynamics in Polymers: Torsional Blobs and Thinning
By using the blob theory and computer simulations, we investigate the
properties of a linear polymer performing a stationary rotational motion around
a long impenetrable rod. In particular, in the simulations the rotation is
induced by a torque applied to the end of the polymer that is tethered to the
rod. Three different regimes are found, in close analogy with the case of
polymers pulled by a constant force at one end. For low torques the polymer
rotates maintaining its equilibrium conformation. At intermediate torques the
polymer assumes a trumpet shape, being composed by blobs of increasing size. At
even larger torques the polymer is partially wrapped around the rod. We derive
several scaling relations between various quantities as angular velocity,
elongation and torque. The analytical predictions match the simulation data
well. Interestingly, we find a "thinning" regime where the torque has a very
weak (logarithmic) dependence on the angular velocity. We discuss the origin of
this behavior, which has no counterpart in polymers pulled by an applied force.Comment: 30 pages, 8 figures, 1 TOC figure; video abstract at
https://youtu.be/LwicoSkh3m
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