Self-Assisted Amoeboid Navigation in Complex Environments
2011

Self-Assisted Amoeboid Navigation

Sample size: 250 publication 10 minutes Evidence: high

Author Information

Author(s): Hecht Inbal, Levine Herbert, Rappel Wouter-Jan, Ben-Jacob Eshel

Primary Institution: The Sackler School of Physics and Astronomy, Tel Aviv University

Hypothesis

Can a simple memory mechanism improve the navigation of cells in complex environments?

Conclusion

Cells using a simple chemical marker mechanism significantly improve their navigation success rates in complex environments.

Supporting Evidence

  • Cells using simple chemotaxis often get trapped by large obstacles.
  • A chemical marker secreted by the cell helps it escape traps.
  • Success rates improved from 29.9% to 99% with the self-assistance strategy.

Takeaway

Cells can get lost in mazes, but if they leave a chemical trail behind them, they can find their way out much better.

Methodology

A computational model was used to simulate amoeboid navigation in environments with and without obstacles, testing the effects of a secreted chemical marker.

Limitations

The model may not fully capture the complexities of real cellular navigation and the effects of different environmental factors.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0021955

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication