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Understanding cell lineages as complex adaptive systems.

Neil D Theise1, Mark d'Inverno

  • 1Division of Digestive Diseases, Departments of Medicine and Pathology, The Milton and Carroll Petrie Division of Beth Israel Medical Center, New York, NY 10003, USA. ntheise@chpnet.org

Blood Cells, Molecules & Diseases
|February 6, 2004
PubMed
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Stem cells are complex systems influenced by their environment. Viewing stem cell behavior as emergent from local interactions changes how we understand stem cell plasticity and disease models.

Area of Science:

  • * Systems biology and stem cell research.
  • * Computational biology and theoretical medicine.

Background:

  • * Stem cells are numerous and reactive, with behavior significantly influenced by local environmental factors.
  • * Local interactions among stem cell agents lead to emergent global behavior.
  • * Current models often overlook the complexity of stem cell systems as reactive environments.

Purpose of the Study:

  • * To reframe the understanding of stem cell behavior through the lens of complex reactive systems.
  • * To explore the implications of this perspective on stem cell plasticity and lineage dynamics.
  • * To assess the impact on disease modeling and clinical data interpretation.

Main Methods:

  • * Conceptual analysis of stem cells as complex reactive systems.

Related Experiment Videos

  • * Agent-based modeling principles applied to stem cell interactions.
  • * Review of existing literature on stem cell plasticity and disease.

    • Main Results:

    • * Stem cell systems exhibit characteristics of complex reactive systems, with emergent properties.
    • * Local environmental factors and cell-cell interactions are critical drivers of stem cell behavior.
    • * This perspective necessitates a re-evaluation of stem cell plasticity and lineage determination.

    Conclusions:

    • * Viewing stem cells as complex reactive systems offers a novel framework for research.
    • * This approach has significant implications for understanding stem cell plasticity, modeling, and disease interpretation.
    • * Further research is warranted to explore the full potential of this systems-level perspective.