4.4 Article

Is the cell really a machine?

期刊

JOURNAL OF THEORETICAL BIOLOGY
卷 477, 期 -, 页码 108-126

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2019.06.002

关键词

Stochasticity; Self-organization; Pleomorphic ensembles; Brownian ratchet; Non-genetic heterogeneity

资金

  1. Konrad Lorenz Institute for Evolution and Cognition Research
  2. European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013)/ERC grant [324186]

向作者/读者索取更多资源

It has become customary to conceptualize the living cell as an intricate piece of machinery, different to a man-made machine only in terms of its superior complexity. This familiar understanding grounds the conviction that a cell's organization can be explained reductionistically, as well as the idea that its molecular pathways can be construed as deterministic circuits. The machine conception of the cell owes a great deal of its success to the methods traditionally used in molecular biology. However, the recent introduction of novel experimental techniques capable of tracking individual molecules within cells in real time is leading to the rapid accumulation of data that are inconsistent with an engineering view of the cell. This paper examines four major domains of current research in which the challenges to the machine conception of the cell are particularly pronounced: cellular architecture, protein complexes, intracellular transport, and cellular behaviour. It argues that a new theoretical understanding of the cell is emerging from the study of these phenomena which emphasizes the dynamic, self-organizing nature of its constitution, the fluidity and plasticity of its components, and the stochasticity and non-linearity of its underlying processes. (C) 2019 Elsevier Ltd. All rights reserved.

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