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Related Experiment Videos

The reverse control of irreversible biological processes.

Kwang-Hyun Cho1, Jae Il Joo1, Dongkwan Shin1

  • 1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|June 22, 2016
PubMed
Summary

Biological processes once thought irreversible can be reversed. This study introduces a framework using attractor and phenotype landscapes to understand and control biological process reversion via network rewiring.

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Area of Science:

  • Systems Biology
  • Molecular Biology
  • Cellular Biology

Background:

  • Biological processes were traditionally viewed as irreversible.
  • Recent research indicates cellular-level reversion is possible.
  • Understanding the mechanisms of biological process reversion is crucial.

Purpose of the Study:

  • To introduce a unified conceptual framework for understanding biological process reversion.
  • To explain irreversibility through landscape reshaping.
  • To propose a method for controlling biological process reversion.

Main Methods:

  • Utilizing the attractor landscape to model molecular regulatory network dynamics.
  • Employing the phenotype landscape to map phenotypes based on molecular steady states.

Related Experiment Videos

  • Developing a framework where irreversibility is linked to phenotype landscape reshaping.

    • Main Results:

    • Irreversible biological processes are characterized by phenotype landscape reshaping.
    • Network rewiring can alter network dynamics and reverse landscape changes.
    • Restoration of the original phenotype landscape is achievable through network rewiring.

    Conclusions:

    • The proposed framework provides a conceptual basis for understanding biological process reversion.
    • Network rewiring offers a potential strategy for the reverse control of irreversible biological processes.
    • This work opens new avenues for manipulating cellular dynamics and restoring original states.