Literature DB >> 8980305

Isologous diversification: a theory of cell differentiation.

K Kaneko1, T Yomo.   

Abstract

An isologous diversification theory for cell differentiation is processed, based on simulations of interacting cells with biochemical networks and the cell division process following consumption of some chemicals. According to the simulations of the interaction-based dynamical systems model, the following scenario of the cell differentiation is proposed. (1) Up to some threshold number, divisions bring about almost identical cells with synchronized biochemical oscillations. (2) As the number is increased, the oscillations lose synchrony, leading to groups of cells with different phases of oscillations. (3) Amplitudes of oscillation and averaged chemical compositions start to differ by groups of cells. The differentiated behavior of states is transmitted to daughter cells. (4) Recursivity is formed so that the daughter cells keep the identical chemical character. This "memory" is made possible through the transfer of initial conditions. (5) Successive differentiation proceeds. The mechanism of tumor cell formation, origin of stem cells, anomalous differentiation by transplantations, apoptosis and other features of cell differentiation process are also discussed, with some novel predictions.

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Mesh:

Year:  1997        PMID: 8980305     DOI: 10.1007/bf02459474

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  12 in total

1.  Sympatric speciation: compliance with phenotype diversification from a single genotype.

Authors:  K Kaneko; T Yomo
Journal:  Proc Biol Sci       Date:  2000-12-07       Impact factor: 5.349

2.  Kinetic origin of heredity in a replicating system with a catalytic network.

Authors:  K Kaneko
Journal:  J Biol Phys       Date:  2002-12       Impact factor: 1.365

3.  Comparative transcriptome analysis reveals vertebrate phylotypic period during organogenesis.

Authors:  Naoki Irie; Shigeru Kuratani
Journal:  Nat Commun       Date:  2011       Impact factor: 14.919

4.  Oscillatory protein expression dynamics endows stem cells with robust differentiation potential.

Authors:  Narito Suzuki; Chikara Furusawa; Kunihiko Kaneko
Journal:  PLoS One       Date:  2011-11-03       Impact factor: 3.240

5.  Adaptive response of a gene network to environmental changes by fitness-induced attractor selection.

Authors:  Akiko Kashiwagi; Itaru Urabe; Kunihiko Kaneko; Tetsuya Yomo
Journal:  PLoS One       Date:  2006-12-20       Impact factor: 3.240

Review 6.  Challenges for complex microbial ecosystems: combination of experimental approaches with mathematical modeling.

Authors:  Shin Haruta; Takehito Yoshida; Yoshiteru Aoi; Kunihiko Kaneko; Hiroyuki Futamata
Journal:  Microbes Environ       Date:  2013-08-30       Impact factor: 2.912

7.  Inherent characteristics of gene expression for buffering environmental changes without the corresponding transcriptional regulations.

Authors:  Takao Suzuki; Akiko Kashiwagi; Itaru Urabe; Tetsuya Yomo
Journal:  Biophysics (Nagoya-shi)       Date:  2006-11-02

8.  Chaotic expression dynamics implies pluripotency: when theory and experiment meet.

Authors:  Chikara Furusawa; Kunihiko Kaneko
Journal:  Biol Direct       Date:  2009-05-15       Impact factor: 4.540

9.  Using cell fate attractors to uncover transcriptional regulation of HL60 neutrophil differentiation.

Authors:  Albert C Huang; Limei Hu; Stuart A Kauffman; Wei Zhang; Ilya Shmulevich
Journal:  BMC Syst Biol       Date:  2009-02-18

10.  Pluripotency, Differentiation, and Reprogramming: A Gene Expression Dynamics Model with Epigenetic Feedback Regulation.

Authors:  Tadashi Miyamoto; Chikara Furusawa; Kunihiko Kaneko
Journal:  PLoS Comput Biol       Date:  2015-08-26       Impact factor: 4.475

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