Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Chemotaxis and Direction of Cell Migration

Chemotaxis and Direction of Cell Migration

Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...

Chemotaxis in E. coli

Chemotaxis in E. coli

Chemotaxis in Escherichia coli is a sensory-driven motility mechanism that enables bacteria to navigate chemical gradients, moving toward beneficial environments while avoiding harmful conditions. This process relies on a signal transduction system integrating external chemical cues with flagellar motor control.Chemoreceptors and Signal DetectionE. coli detects chemical gradients through methyl-accepting chemotaxis proteins (MCPs), which are membrane-bound chemoreceptors that sense attractants...

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

Noncovalent Attractions in Biomolecules

Noncovalent Attractions in Biomolecules

Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...

Noncovalent Attractions in Biomolecules

Noncovalent Attractions in Biomolecules

First Law: Particles in One-dimensional Equilibrium

First Law: Particles in One-dimensional Equilibrium

Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Dynamical patterns and nonreciprocal effective interactions in an active-passive mixture through exact hydrodynamic analysis.

Nature communications·2025

Same author

Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada.

Nature communications·2024

Same author

Mapping the distance between fire hazard and disaster for communities in Canadian forests.

Global change biology·2024

Same author

Velocity jump process with volume exclusions in a narrow channel.

Physical review. E·2023

Same author

Reactions, diffusion, and volume exclusion in a conserved system of interacting particles.

Physical review. E·2018

Same author

Ten simple rules for a successful cross-disciplinary collaboration.

PLoS computational biology·2015

Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026

Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026

Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026

Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026

Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026

Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 26, 2025

Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation

Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation

Published on: November 9, 2017

One-dimensional model for chemotaxis with hard-core interactions.

Tertius Ralph¹, Stephen W Taylor¹, Maria Bruna²

¹Department of Mathematics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Physical Review. E

|March 15, 2020

Summary

This summary is machine-generated.

This study introduces a new nonlinear kinetic model for particle movement (chemotaxis) that accounts for particle size and interactions. The model accurately predicts particle behavior, validated by simulations.

More Related Videos

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

Measurement of Cellular Chemotaxis with ECIS/Taxis

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

Related Experiment Videos

Last Updated: Dec 26, 2025

Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation

Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation

Published on: November 9, 2017

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix

Published on: June 12, 2015

Measurement of Cellular Chemotaxis with ECIS/Taxis

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

Area of Science:

Statistical physics
Mathematical modeling
Biophysics

Background:

Chemotaxis describes directed movement in response to chemical stimuli.
Existing models often simplify particle interactions and size effects.
Understanding particle interactions is crucial for accurate biological process modeling.

Purpose of the Study:

To derive and validate a nonlinear kinetic model for chemotaxis.
To incorporate excluded-volume interactions and particle size into the model.
To compare the nonlinear model with linear and stochastic simulations.

Main Methods:

Derivation of a nonlinear kinetic model using matched asymptotic expansions for low particle densities.
Development of a compression method for high particle densities, exploiting single-file motion.
Validation through numerical simulations against noninteracting linear models and stochastic simulations.

Main Results:

Successfully derived a nonlinear kinetic model for biased velocity jump processes with excluded-volume interactions.
The model accurately captures particle size and excluded-volume effects.
The derived model shows good agreement with simulation results.

Conclusions:

The developed nonlinear kinetic model provides a more realistic description of chemotaxis with excluded-volume interactions.
The two distinct derivation approaches offer flexibility for different particle densities.
This work advances the kinetic theory of active matter and collective particle behavior.