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Application of microfluidic systems in modelling impacts of environmental structure on stress-sensing by individual microbial cells.
Harvey, Harry J; Chubynsky, Mykyta V; Sprittles, James E; Shor, Leslie M; Mooney, Sacha J; Wildman, Ricky D; Avery, Simon V.
Afiliação
  • Harvey HJ; School of Life Sciences, University of Nottingham, Nottingham, UK.
  • Chubynsky MV; Mathematics Institute, University of Warwick, Coventry, UK.
  • Sprittles JE; Mathematics Institute, University of Warwick, Coventry, UK.
  • Shor LM; Department of Chemical and Biomolecular Engineering, University of Connecticut, USA.
  • Mooney SJ; School of Biosciences, University of Nottingham, Nottingham, UK.
  • Wildman RD; Faculty of Engineering, University of Nottingham, Nottingham, UK.
  • Avery SV; School of Life Sciences, University of Nottingham, Nottingham, UK.
Comput Struct Biotechnol J ; 20: 128-138, 2022.
Article em En | MEDLINE | ID: mdl-34976317
ABSTRACT
Environmental structure describes physical structure that can determine heterogenous spatial distribution of biotic and abiotic (nutrients, stressors etc.) components of a microorganism's microenvironment. This study investigated the impact of micrometre-scale structure on microbial stress sensing, using yeast cells exposed to copper in microfluidic devices comprising either complex soil-like architectures or simplified environmental structures. In the soil micromodels, the responses of individual cells to inflowing medium supplemented with high copper (using cells expressing a copper-responsive pCUP1-reporter fusion) could be described neither by spatial metrics developed to quantify proximity to environmental structures and surrounding space, nor by computational modelling of fluid flow in the systems. In contrast, the proximities of cells to structures did correlate with their responses to elevated copper in microfluidic chambers that contained simplified environmental structure. Here, cells within more open spaces showed the stronger responses to the copper-supplemented inflow. These insights highlight not only the importance of structure for microbial responses to their chemical environment, but also how predictive modelling of these interactions can depend on complexity of the system, even when deploying controlled laboratory conditions and microfluidics.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article