Stochastic adaptation and fold-change detection: from single-cell to population behavior
2011

Understanding Cell Adaptation Through Stochastic Models

publication Evidence: moderate

Author Information

Author(s): Tatiana T Marquez-Lago, André Leier

Primary Institution: ETH Zurich

Hypothesis

How do cells process varying information from their environment and control their chemical noise to produce appropriate responses?

Conclusion

Single cell behavior cannot be inferred from population measurements, and adaptation is often an emergent property of the collective system.

Supporting Evidence

  • Adaptation can be considered an emergent property of the collective system.
  • Single cell and population behavior can be completely different.
  • Ergodicity cannot be assumed in simple linear examples.

Takeaway

Cells can adapt to changes in their environment, but how they do this can be very different when looking at one cell versus a whole group of cells.

Methodology

The study used stochastic modeling to analyze a two-state protein system and its adaptation properties.

Limitations

The study may not account for all biological complexities and interactions present in real cellular environments.

Digital Object Identifier (DOI)

10.1186/1752-0509-5-22

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication