Ubiquity of log-normal distributions in intra-cellular reaction dynamic
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- Furusawa Chikara
- Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University ERATO Complex Systems Biology Project, JST
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- Suzuki Takao
- Department of Biotechnology, Graduate School of Engineering, Osaka University
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- Kashiwagi Akiko
- Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University
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- Yomo Tetsuya
- Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University Department of Biotechnology, Graduate School of Engineering, Osaka University Graduate School of Frontier Biosciences, Osaka University Department of Pure and Applied Sciences, University of Tokyo ERATO Complex Systems Biology Project, JST
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- Kaneko Kunihiko
- Graduate School of Frontier Biosciences, Osaka University Department of Pure and Applied Sciences, University of Tokyo ERATO Complex Systems Biology Project, JST
書誌事項
- タイトル別名
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- Ubiquity of log-normal distributions in intra-cellular reaction dynamics
抄録
The discovery of two fundamental laws concerning cellular dynamics with recursive growth is reported. Firstly, the chemical abundances measured over many cells were found to obey a log-normal distribution and secondly, the relationship between the average and standard deviation of the abundances was found to be linear. The ubiquity of these laws was explored both theoretically and experimentally. By means of a model with a catalytic reaction network, the laws were shown to exist near a critical state with efficient self-reproduction. Additionally, by measuring distributions of fluorescent proteins in bacteria cells, the ubiquity of log-normal distribution of protein abundances was confirmed. Relevance of these findings to cellular function and biological plasticity is briefly discussed.<br>
収録刊行物
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- BIOPHYSICS
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BIOPHYSICS 1 25-31, 2005
日本生物物理学会
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詳細情報 詳細情報について
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- CRID
- 1390001205223352448
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- NII論文ID
- 130000091831
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- ISSN
- 13492942
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可