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Area of Science:

  • Cell biology
  • Biophysics
  • Biochemical engineering

Background:

  • Biological cells exhibit remarkable chemical sensing capabilities, often operating near the single-molecule detection limit.
  • Observed sensing precision exceeds theoretical physical limits, suggesting active cellular mechanisms are at play.
  • Cellular sensing involves complex biochemical processes and cell-surface receptors.

Purpose of the Study:

  • To analyze the impact of cell memory, arising from slow biochemical processes, on the sensing precision of cell-surface receptors.
  • To investigate how dynamic adjustment of cell memory affects sensing precision across different environmental fluctuation levels.
  • To explore universal problem-solving strategies shared between cellular sensing and control engineering.

Main Methods:

  • Derivation of analytical formulas to quantify the effect of cell memory on sensing precision.
  • Mathematical modeling of sensing mechanisms in fluctuating chemical environments.
  • Experimental quantification of directional biases in chemotactic Dictyostelium discoideum cells under alternating chemical gradients.

Main Results:

  • Analytical formulas demonstrate that cell memory significantly improves sensing precision in weakly fluctuating environments.
  • Dynamic adjustment of cell memory consistently enhances sensing precision, irrespective of environmental fluctuation strength.
  • Experimental data from Dictyostelium discoideum cells support the theoretical predictions regarding enhanced sensing.

Conclusions:

  • Cell memory is a crucial factor in enhancing the precision of biological chemical sensing.
  • Dynamic control over cell memory represents an effective strategy for improving sensing capabilities in diverse environments.
  • The principles of cell sensing and control engineering reveal convergent strategies in living matter for environmental interaction.