Literature DB >> 29632262

Discovery of functional interactions among actin regulators by analysis of image fluctuations in an unperturbed motile cell system.

Tadamoto Isogai1, Gaudenz Danuser2.   

Abstract

Cell migration is driven by propulsive forces derived from polymerizing actin that pushes and extends the plasma membrane. The underlying actin network is constantly undergoing adaptation to new mechano-chemical environments and intracellular conditions. As such, mechanisms that regulate actin dynamics inherently contain multiple feedback loops and redundant pathways. Given the highly adaptable nature of such a system, studies that use only perturbation experiments (e.g. knockdowns, overexpression, pharmacological activation/inhibition, etc.) are challenged by the nonlinearity and redundancy of the pathway. In these pathway configurations, perturbation experiments at best describe the function(s) of a molecular component in an adapting (e.g. acutely drug-treated) or fully adapted (e.g. permanent gene silenced) cell system, where the targeted component now resides in a non-native equilibrium. Here, we propose how quantitative live-cell imaging and analysis of constitutive fluctuations of molecular activities can overcome these limitations. We highlight emerging actin filament barbed-end biology as a prime example of a complex, nonlinear molecular process that requires a fluctuation analytic approach, especially in an unperturbed cellular system, to decipher functional interactions of barbed-end regulators, actin polymerization and membrane protrusion.This article is part of the theme issue 'Self-organization in cell biology'.
© 2018 The Author(s).

Keywords:  actin; fluctuations; imaging; real-time; signalling; system redundancy

Mesh:

Substances:

Year:  2018        PMID: 29632262      PMCID: PMC5904296          DOI: 10.1098/rstb.2017.0110

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  104 in total

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Review 6.  F-Actin Cytoskeleton Network Self-Organization Through Competition and Cooperation.

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  7 in total

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