Literature DB >> 10433890

Isologous diversification for robust development of cell society.

K Kaneko1, T Yomo.   

Abstract

Isologous diversification, proposed for cell differentiation, is shown to be stable against molecular and other external fluctuations, where amplification of noise-induced slight difference between cells leads to a noise-tolerant society with differentiated cell types. It is a general consequence of interacting cells with biochemical networks and cell divisions, as is confirmed by several model simulations. According to the theory, differentiation proceeds first by loss of synchrony of intracellular oscillations as the number of cells increases. Then the chemical composition of the cells is differentiated. The differentiated compositions become inherited by the next generation, and lead to determined cell types. As a result of successive occurrence of the cell differentiation, the cell society will be composed of different cell types. The whole developmental process is robust not only against molecular fluctuations but also against the removal of a cluster of cells. This robustness is a remarkable feature of isologous diversification, in contrast to the conventional threshold-type mechanism for development. As a testable consequence of the theory, we also discuss interaction-dependent tumor formation and negative correlation between growth speed and chemical diversity. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10433890     DOI: 10.1006/jtbi.1999.0952

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

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7.  Differences in cell division rates drive the evolution of terminal differentiation in microbes.

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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.  How selection affects phenotypic fluctuation.

Authors:  Yoichiro Ito; Hitoshi Toyota; Kunihiko Kaneko; Tetsuya Yomo
Journal:  Mol Syst Biol       Date:  2009-04-28       Impact factor: 11.429

10.  Evolution of robustness to noise and mutation in gene expression dynamics.

Authors:  Kunihiko Kaneko
Journal:  PLoS One       Date:  2007-05-09       Impact factor: 3.240

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