257 research outputs found
Modeling sRNA-regulated Plasmid Maintenance
We study a theoretical model for the toxin-antitoxin (hok/sok) mechanism for
plasmid maintenance in bacteria. Toxin-antitoxin systems enforce the
maintenance of a plasmid through post-segregational killing of cells that have
lost the plasmid. Key to their function is the tight regulation of expression
of a protein toxin by an sRNA antitoxin. Here, we focus on the nonlinear nature
of the regulatory circuit dynamics of the toxin-antitoxin mechanism. The
mechanism relies on a transient increase in protein concentration rather than
on the steady state of the genetic circuit. Through a systematic analysis of
the parameter dependence of this transient increase, we confirm some known
design features of this system and identify new ones: for an efficient
toxin-antitoxin mechanism, the synthesis rate of the toxin's mRNA template
should be lower that of the sRNA antitoxin, the mRNA template should be more
stable than the sRNA antitoxin, and the mRNA-sRNA complex should be more stable
than the sRNA antitoxin. Moreover, a short half-life of the protein toxin is
also beneficial to the function of the toxin-antitoxin system. In addition, we
study a therapeutic scenario in which a competitor mRNA is introduced to
sequester the sRNA antitoxin, causing the toxic protein to be expressed.Comment: 25 pages, 8 figure
Buckling of elastic filaments by discrete magnetic moments
We study the buckling of an idealized, semiflexible filament along whose
contour magnetic moments are placed. {We give analytic expressions for the
critical stiffness of the filament below which it buckles due to the magnetic
compression. For this, we consider various scenarios of the attachment of the
magnetic particles to the filament. One possible application for this model are
the magnetosome chains of magnetotactic bacteria. An estimate of the critical
bending stiffness indicates that buckling may occur within the range of
biologically relevant parameters and suggests a role for the bending stiffness
of the filament to stabilize the filament against buckling, which would
compromise the functional relevance of the bending stiffness of the used
filament.Comment: accepted for publication in EPJ
Force-dependent unbinding rate of molecular motors from stationary optical trap data
Molecular motors walk along filaments until they detach stochastically with a
force-dependent unbinding rate. Here, we show that this unbinding rate can be
obtained from the analysis of experimental data of molecular motors moving in
stationary optical traps. Two complementary methods are presented, based on the
analysis of the distribution for the unbinding forces and of the motor's force
traces. In the first method, analytically derived force distributions for slip
bonds, slip-ideal bonds, and catch bonds are used to fit the cumulative
distributions of the unbinding forces. The second method is based on the
statistical analysis of the observed force traces. We validate both methods
with stochastic simulations and apply them to experimental data for kinesin-1
Movements of molecular motors: Ratchets, random walks and traffic phenomena
Processive molecular motors which drive the traffic of organelles in cells
move in a directed way along cytoskeletal filaments. On large time scales, they
perform motor walks, i.e., peculiar random walks which arise from the repeated
unbinding from and rebinding to filaments. Unbound motors perform Brownian
motion in the surrounding fluid. In addition, the traffic of molecular motors
exhibits many cooperative phenomena. In particular, it faces similar problems
as the traffic on streets such as the occurrence of traffic jams and the
coordination of (two-way) traffic. These issues are studied here theoretically
using lattice models.Comment: latex, uses elsart.cls and phyeauth.cls (included), 10 pages, 6
figures, to appear in the proceedings of FQMT'04, Pragu
Mass transport perspective on an accelerated exclusion process: Analysis of augmented current and unit-velocity phases
In an accelerated exclusion process (AEP), each particle can "hop" to its
adjacent site if empty as well as "kick" the frontmost particle when joining a
cluster of size . With various choices of the
interaction range, , we find that the steady state of AEP can
be found in a homogeneous phase with augmented currents (AC) or a segregated
phase with holes moving at unit velocity (UV). Here we present a detailed study
on the emergence of the novel phases, from two perspectives: the AEP and a mass
transport process (MTP). In the latter picture, the system in the UV phase is
composed of a condensate in coexistence with a fluid, while the transition from
AC to UV can be regarded as condensation. Using Monte Carlo simulations, exact
results for special cases, and analytic methods in a mean field approach
(within the MTP), we focus on steady state currents and cluster sizes.
Excellent agreement between data and theory is found, providing an insightful
picture for understanding this model system.Comment: 13 pages, 8 figure
Cooperative transport by small teams of molecular motors
Molecular motors power directed transport of cargoes within cells. Even if a
single motor is sufficient to transport a cargo, motors often cooperate in
small teams. We discuss the cooperative cargo transport by several motors
theoretically and explore some of its properties. In particular we emphasize
how motor teams can drag cargoes through a viscous environment.Comment: 9 pages, 1 figure, uses ws-brl.cls, presented at Bio-Systems
conference, Berlin, June 200
Tug-of-war as a cooperative mechanism for bidirectional cargo transport by molecular motors
Intracellular transport is based on molecular motors that pull cargos along
cytoskeletal filaments. One motor species always moves in one direction, e.g.
conventional kinesin moves to the microtubule plus end, while cytoplasmic
dynein moves to the microtubule minus end. However, many cellular cargos are
observed to move bidirectionally, involving both plus-end and minus-end
directed motors. The presumably simplest mechanism for such bidirectional
transport is provided by a tug-of-war between the two motor species. This
mechanism is studied theoretically using the load-dependent transport
properties of individual motors as measured in single-molecule experiments. In
contrast to previous expectations, such a tug-of-war is found to be highly
cooperative and to exhibit seven different motility regimes depending on the
precise values of the single motor parameters. The sensitivity of the transport
process to small parameter changes can be used by the cell to regulate its
cargo traffic.Comment: 17 pages, latex, 11 figures, 4 tables, includes Supporting
Informatio
Is F-1-ATPase a Rotary Motor with Nearly 100% Efficiency? Quantitative Analysis of Chemomechanical Coupling and Mechanical Slip
We present a chemomechanical network model of the rotary molecular motor F1-ATPase which quantitatively describes not only the rotary motor dynamics driven by ATP hydrolysis but also the ATP synthesis caused by forced reverse rotations. We observe a high reversibility of F1-ATPase, that is, the main cycle of ATP synthesis corresponds to the reversal of the main cycle in the hydrolysis-driven motor rotation. However, our quantitative analysis indicates that torque-induced mechanical slip without chemomechanical coupling occurs under high external torque and reduces the maximal efficiency of the free energy transduction to 40–80% below the optimal efficiency. Heat irreversibly dissipates not only through the viscous friction of the probe but also directly from the motor due to torque-induced mechanical slip. Such irreversible heat dissipation is a crucial limitation for achieving a 100% free-energy transduction efficiency with biological nanomachines because biomolecules are easily deformed by external torque
Transcriptional Proofreading in Dense RNA Polymerase Traffic
The correction of errors during transcription involves the diffusive backward translocation (backtracking) of RNA polymerases (RNAPs) on the DNA. A trailing RNAP on the same template can interfere with backtracking as it progressively restricts the space that is available for backward translocation and thereby ratchets the backtracked RNAP forward. We analyze the resulting negative impact on proofreading theoretically using a driven lattice gas model of transcription under conditions of dense RNAP traffic. The fraction of errors that are corrected is calculated exactly for the case of a single RNAP; for multi-RNAP transcription, we use simulations and an analytical approximation and find a decrease with increasing traffic density. Moreover, we ask how the parameters of the system have to be set to keep down the impact of the interference of a trailing RNAP. Our analysis uncovers a surprisingly simple picture of the design of the error correction system: its efficiency is essentially determined by the rate for the initial backtracking step, while the value of the cleavage rate ensures that the correction mechanism remains efficient at high transcription rates. Finally, we argue that our analysis can also be applied to cases with transcription-translation coupling where the leading ribosome on the transcript assumes the role of the trailing RNAP
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