Competing chemical gradients change chemotactic dynamics and cell distribution

Area of Science:

• Cell Biology
• Biophysics
• Computational Biology

Background:

• Cells respond to diverse stimuli, including chemical signals, to guide movement.
• Physiological conditions often involve overlapping signals, such as during infections with multiple chemoattractant fields.
• Understanding how cells integrate and prioritize competing signals is crucial for explaining complex cellular navigation.

Purpose of the Study:

• To investigate how gradient sensing accuracy influences cell navigation in the presence of two distinct chemoattractant sources.
• To model cellular decision-making when faced with competing chemoattractant gradients.
• To explore the impact of signal integration on cell movement patterns and spatial organization.

Main Methods:

• Modeling cells as active random walkers.
• Simulating gradient sensing and reorientation based on local chemoattractant estimates.
• Analyzing cell navigation behaviors under varying gradient shapes and source locations.

Main Results:

• Cells exhibit diverse chemotactic behaviors, including anisotropic patterns and confinement, influenced by gradient characteristics.
• Model predicts multistep navigation or hierarchical responses based on differential chemoattractant sensitivity.
• Gradient sensing precision non-monotonically affects navigation accuracy.

Conclusions:

• Gradient sensing accuracy is a key determinant of cell navigation strategies in multi-field environments.
• Cellular responses to competing signals can lead to complex spatial organization and movement patterns.
• The study provides insights into how cells prioritize and integrate environmental cues for directed migration.