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Related Experiment Videos

Tissue as a self-organizing system with fractal dynamics.

P Waliszewski1, J Konarski

  • 1Department of Theoretical Chemistry, University of Poznan, Poland.

Advances in Space Research : the Official Journal of the Committee on Space Research (COSPAR)
|January 22, 2002
PubMed
Summary

Cells form dynamic networks where genotype-phenotype relationships are complex and non-linear. This cellular complexity exhibits fractal structures, influencing cell aggregation and differentiation dynamics.

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Area of Science:

  • Systems biology
  • Biophysics
  • Complexity science

Background:

  • Cells function as dynamic supramolecular networks.
  • Genotype-phenotype relationships are non-bijective, with Mendelian inheritance as a specific case.
  • This implies non-linearity and quasi-determinism in cellular networks.

Purpose of the Study:

  • To investigate the fractal nature of cellular structures and dynamics.
  • To characterize cell aggregation and differentiation using fractal geometry.
  • To explore the implications of fractal dynamics in biological systems and potential extraterrestrial life.

Main Methods:

  • Screening of tissue-specific cDNA libraries.
  • Relative Reverse Transcription Polymerase Chain Reaction (RT-PCR).

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  • Box counting method to determine fractal dimensions.

    • Main Results:

    • Higher-order morphological patterns, like gland-like structures and differentiating cancer cells, exhibit fractal dimensions and self-similarity.
    • Cell aggregation shows a positive expansion coefficient, indicating a supracollective phenomenon.
    • Cell differentiation displays a negative expansion coefficient, representing a collective phenomenon.
    • Fractal properties are lost during tumor progression.

    Conclusions:

    • Cellular phenomena occur within a fractal space, characterized by specific dynamics.
    • Fractal structure in tissues suggests an attractor organizing space-time, limiting cellular interactions.
    • Fractal geometry may be a universal feature of interactive biosystems, applicable from terrestrial life to potential extraterrestrial forms.