Computer simulations of cell-target encounter including biased cell motion toward targets: single and multiple

S B Charnick1, E S Fisher, D A Lauffenburger

  • 1Department of Chemical Engineering, University of Pennsylvania, Philadelphia 19104-6393.

Insights

Chemotaxis, the directed movement of immune cells, significantly speeds up target encounters. Even a small chemotactic bias dramatically reduces cell-target meeting times, crucial for tissue clearance.

Area of Science:

  • Computational Biology
  • Immunology
  • Cellular Dynamics

Background:

  • Immune cell function, such as infectious agent clearance, relies on encountering targets within tissues.
  • This encounter process is frequently the rate-limiting step in immune responses.
  • Chemotaxis, or directed cell movement, is a known mechanism to enhance cell-target encounters.

Purpose of the Study:

  • To simulate discrete cell-target encounter events in two dimensions.
  • To verify predictions from continuum models regarding the impact of chemotaxis on encounter rates.
  • To investigate the influence of chemotactic bias on encounter times and target clearance kinetics.

Main Methods:

  • Development of computer simulations for discrete cell-target encounter events in 2D.
  • Simulation of scenarios with single cell-target pairs and multiple cell-target populations.
  • Analysis of encounter times and dynamics under varying degrees of chemotactic bias.

Main Results:

  • Simulations confirm that a small chemotactic bias dramatically decreases cell-target encounter time.
  • Further increases in chemotactic bias yield diminishing returns in reducing encounter time.
  • Chemotactic ability is a key factor in target clearance kinetics, dependent on initial cell-target ratios and distributions.

Conclusions:

  • Computer simulations validate the significant advantage of chemotaxis in increasing cell-target encounter rates.
  • Chemotaxis plays a critical role in the efficiency of immune cell functions and target clearance.
  • This study presents novel simulations of biased particle-target encounters, with broad applicability.

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