Simulation-based Reconstructed Diffusion unveils the effect of aging on protein diffusion in Escherichia coli.

IF 4.3 2区 生物学
PLoS Computational Biology Pub Date : 2023-09-11 eCollection Date: 2023-09-01 DOI:10.1371/journal.pcbi.1011093
Luca Mantovanelli, Dmitrii S Linnik, Michiel Punter, Hildeberto Jardón Kojakhmetov, Wojciech M Śmigiel, Bert Poolman
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引用次数: 0

Abstract

We have developed Simulation-based Reconstructed Diffusion (SbRD) to determine diffusion coefficients corrected for confinement effects and for the bias introduced by two-dimensional models describing a three-dimensional motion. We validate the method on simulated diffusion data in three-dimensional cell-shaped compartments. We use SbRD, combined with a new cell detection method, to determine the diffusion coefficients of a set of native proteins in Escherichia coli. We observe slower diffusion at the cell poles than in the nucleoid region of exponentially growing cells, which is independent of the presence of polysomes. Furthermore, we show that the newly formed pole of dividing cells exhibits a faster diffusion than the old one. We hypothesize that the observed slowdown at the cell poles is caused by the accumulation of aggregated or damaged proteins, and that the effect is asymmetric due to cell aging.

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基于模拟的重建扩散揭示了老化对大肠杆菌中蛋白质扩散的影响。
我们开发了基于模拟的重建扩散(SbRD),以确定针对约束效应和描述三维运动的二维模型引入的偏差进行校正的扩散系数。我们在三维细胞形隔间的模拟扩散数据上验证了该方法。我们使用SbRD,结合一种新的细胞检测方法,来确定一组天然蛋白质在大肠杆菌中的扩散系数。我们观察到,与指数生长细胞的类核区相比,细胞极的扩散速度较慢,这与多聚体的存在无关。此外,我们发现新形成的分裂细胞极比旧的分裂细胞表现出更快的扩散。我们假设,在细胞极观察到的减速是由聚集或受损蛋白质的积累引起的,并且由于细胞老化,这种影响是不对称的。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology 生物-生化研究方法
CiteScore
7.10
自引率
4.70%
发文量
820
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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