Application of microfluidic systems in modelling impacts of environmental structure on stress-sensing by individual microbial cells.
Application of microfluidic systems in modelling impacts of environmental structure on stress-sensing by individual microbial cells.
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DOI：
10.1016/j.csbj.2021.11.039
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发表时间：
2022
影响因子：
6
通讯作者：
Avery SV
中科院分区：
文献类型：
--
作者：
Harvey HJ;Chubynsky MV;Sprittles JE;Shor LM;Mooney SJ;Wildman RD;Avery SV
环境结构描述了可以确定微生物微环境的生物和非生物（营养物、应激源等）成分的异质空间分布的物理结构。这项研究利用在包含复杂的类土壤结构或简化的环境结构的微流体装置中暴露于铜的酵母细胞，研究了微米级结构对微生物应激传感的影响。在土壤微模型中，单个细胞对补充有高铜的流入介质（使用表达铜响应性pCUP1-报告基因融合的细胞）的反应既不能通过为量化与环境结构和周围空间的接近度而开发的空间度量来描述，也不能通过系统中流体流动的计算模型来描述。相比之下，细胞与结构的接近度确实与它们对包含简化环境结构的微流体室中升高的铜的反应相关。在这里，更开放空间内的细胞对补充铜的流入表现出更强的反应。这些见解不仅强调了结构对于微生物对其化学环境的反应的重要性，而且还强调了这些相互作用的预测模型如何依赖于系统的复杂性，即使在部署受控的实验室条件和微流体时也是如此。
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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影响因子：
4.6
作者：
Bär J;Boumasmoud M;Kouyos RD;Zinkernagel AS;Vulin C
通讯作者：
Vulin C
平铺 3D 显微图像采集的全局最佳拼接。
DOI：
10.1093/bioinformatics/btp184
发表时间：
2009-06-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Preibisch S;Saalfeld S;Tomancak P
通讯作者：
Tomancak P
影响因子：
9.7
作者：
Deng, Jinzi;Orner, Erika P.;Shor, Leslie M.
通讯作者：
Shor, Leslie M.
影响因子：
4.3
作者：
Mahto, Sanjeev Kumar;Rhee, Seog Woo
通讯作者：
Rhee, Seog Woo
影响因子：
3.5
作者：
Shi, Hua;Jiang, Yunhui;Li, Chenghua
通讯作者：
Li, Chenghua