A theory of differentiation with dynamic clustering

  • Kunihiko Kaneko
  • Tetsuya Yomo
3. Adaptive and Cognitive Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 929)


A novel theory for cell differentiation is proposed, based on simulations with interacting artificial cells which have metabolic networks within, and divide into two when the final product is accumulated. Results of simulations with coupled chemical networks and division process lead to the following scenario of the differentiation: Up to some numbers of cells, divisions bring about almost identical cells with synchronized metabolic oscillations. As the number is increased the oscillations lose the synchrony, leading to groups of cells with different phases of oscillations. At later stage this differentiation is fixed in time, and cells spilt into groups with different chemical constituents spontaneously, which are transmitted to daughter cells by cell divisions. Hierarchical differentiation, origin of stem cells, and anomalous differentiation by transplantations are also discussed with relevance to real biological experimental results.


differentiation metabolic network cell division clustering open chaos 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Kunihiko Kaneko
    • 1
    • 2
  • Tetsuya Yomo
    • 1
    • 2
  1. 1.Department of Pure and Applied SciencesUniversity of TokyoTokyoJapan
  2. 2.Department of Biotechnology, Faculty of EngineeringOsaka UniversityOsakaJapan

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