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 towards...

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...

Optimal Foraging

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:

You might also read

Related Articles

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

Sort by

Same author

Association Between Mental Health of Patients with Work-Related Injury and Their Compensation Claim Status: Exploratory Findings from the IMPRovE Trial.

Journal of occupational rehabilitation·2026

Same author

Getting fairer over time? Assessing changes in health technology funding processes using the accountability for reasonableness (A4R) framework.

The European journal of health economics : HEPAC : health economics in prevention and care·2026

Same author

Measuring guideline-concordant care when recommendations require clinical judgment: a mixed methods approach.

JBI evidence implementation·2026

Same author

A sensorimotor instability drives a locomotor transition during fish development.

Science advances·2026

Same author

A Randomized Controlled Trial: Evaluating the Sleep, Cancer and Rest (SleepCaRe) Trial to Improve Health-Related Quality of Life in Women Undergoing Chemotherapy for Breast Cancer.

Psycho-oncology·2026

Same author

Social value of a childhood QALY - Revealed preferences from pharmaceutical funding decisions in Australia 2005-2023.

Social science & medicine (1982)·2026

Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026

Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026

Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026

Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026

Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026

Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

Bayes-optimal chemotaxis.

Duncan Mortimer¹, Peter Dayan, Kevin Burrage

¹Queensland Brain Institute, University of Queensland, St. Lucia QLD 4072, Australia. dmorti@gmail.com

Neural Computation

|November 26, 2010

Summary

This summary is machine-generated.

Cells use receptor arrays to detect chemical gradients for navigation, like in nervous system development. This study analytically determines the optimal strategy for cells to interpret noisy signals and guide movement effectively.

More Related Videos

C. elegans Chemotaxis Assay

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Measurement of Cellular Chemotaxis with ECIS/Taxis

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

Related Experiment Videos

Last Updated: Jun 6, 2026

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

C. elegans Chemotaxis Assay

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Measurement of Cellular Chemotaxis with ECIS/Taxis

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

Area of Science:

Cell biology
Biophysics
Neuroscience

Background:

Chemotaxis is vital for biological processes, including neural development.
Cells face physical limitations in detecting external chemical gradients due to stochastic receptor binding and noisy signals.

Purpose of the Study:

To derive the Bayes-optimal strategy for cells to determine chemical gradient direction using spatial receptor arrays.
To investigate optimal integration of information from multiple receptor species and identify ideal gradient shapes for long-distance cell guidance.

Main Methods:

Analytical derivation of optimal information processing strategies for receptor arrays in 1D and 2D.
Modeling of information integration across different receptor types.
Analysis of cell polarization as an adaptive response to environmental gradients.

Main Results:

Closed-form predictions for chemotactic performance across various gradient conditions.
Identification of optimal strategies for gradient sensing and cell guidance.
Demonstration that polarized cell behavior can be an adaptation to slowly varying chemical environments.

Conclusions:

The study provides a theoretical framework for understanding how cells optimally navigate chemical gradients.
Results offer insights into the physical constraints and adaptive strategies underlying chemotaxis.
Findings have implications for understanding nervous system development and cell migration in general.