Limits to the precision of gradient sensing with spatial communication and temporal integration

Area of Science:

• Biophysics
• Cellular Biology
• Systems Biology

Background:

• Gradient sensing is crucial for cellular processes like development and migration.
• Accurate gradient estimation requires spatial measurements and communication between cells.
• Previous studies focused on measurement precision, neglecting communication limits.

Purpose of the Study:

• To derive fundamental limits of gradient sensing precision in multicellular systems.
• To investigate the impact of molecular reporter communication on sensing accuracy.
• To analyze the role of temporal integration in multicellular gradient estimation.

Main Methods:

• Utilized the fluctuation-dissipation framework to model sensing limits.
• Developed a theoretical model incorporating communication and temporal integration of molecular reporters.
• Compared sensing precision with and without exchange of local and global reporters.

Main Results:

• Sensing precision saturates with the number of cells, independent of measurement duration, due to communication establishing a maximum length scale.
• Precision is enhanced when the local reporter is also exchanged, despite weakening the comparison, by reducing measurement noise.
• Introduced and analyzed the
• regional excitation-global inhibition
• model.

Conclusions:

• Communication is a fundamental determinant of gradient sensing precision in multicellular systems.
• The need for information transfer inherently sharpens sensing limits.
• Optimizing reporter exchange strategies can improve multicellular gradient estimation accuracy.