Suppr超能文献

秒级至分钟级时间分辨率下高通量环境中的细菌黏附动力学

Bacterial Adhesion Kinetics in a High Throughput Setting in Seconds-minutes Time Resolution.

作者信息

Shteindel Nimrod, Gerchman Yoram

机构信息

Department of Environmental and Evolutionary Biology, University of Haifa, Haifa, Israel.

University of Haifa Science Department at the Oranim College of Education, Tivon, Israel.

出版信息

Bio Protoc. 2021 Jan 20;10(23):e3844. doi: 10.21769/BioProtoc.3844.

Abstract

Bacterial surface adhesion, the first step in many important processes including biofilm formation and tissue invasion, is a fast process that occurs on a time scale of seconds. Adhesion patterns tend to be stochastic and spatially heterogeneous, especially when bacteria are present in low population densities and at early stages of adhesion to the surface. Thus, in order to observe this process, a high degree of temporal resolution is needed across a large surface area in a way that allows several replicates to be monitored. Some of the current methods used to measure bacterial adhesion include microscopy, staining-based microtiter assays, spectroscopy, and PCR. Each of these methods has advantages in assaying aspects of bacterial surface adhesion, but none can capture all features of the process. In the protocol presented here, adapted from Shteindel , 2019 , fluorescently-labeled bacteria are monitored in a multi-titer setting using a standard plate fluorimeter and a dye that absorbs light in the fluorophore excitation and emission wavelengths. The advantage of using this dye is that it restricts the depth of the optic layer to the few microns adjacent to the bottom of the microtiter well, eliminating fluorescence originating from unattached bacteria. Another advantage of this method is that this setting does not require any preparatory steps, which enables reading of the sample to be repeated or continuous. The use of a standard multi-titer well allows easy manipulation and provides flexibility in experimental design.

摘要

细菌表面黏附是包括生物膜形成和组织侵袭在内的许多重要过程的第一步,是一个在数秒时间尺度上发生的快速过程。黏附模式往往是随机的且在空间上不均匀,特别是当细菌以低种群密度存在且处于黏附到表面的早期阶段时。因此,为了观察这个过程,需要在大表面积上以允许监测多个重复样本的方式具备高度的时间分辨率。目前用于测量细菌黏附的一些方法包括显微镜检查、基于染色的微量滴定测定、光谱学和聚合酶链式反应(PCR)。这些方法中的每一种在检测细菌表面黏附方面都有优点,但没有一种能够捕捉该过程的所有特征。在此呈现的方案改编自Shteindel,2019年,使用标准平板荧光计和一种在荧光团激发和发射波长吸收光的染料,在多滴定设置中监测荧光标记的细菌。使用这种染料的优点是它将光学层的深度限制在微量滴定孔底部相邻的几微米内,消除了来自未附着细菌的荧光。这种方法的另一个优点是这种设置不需要任何准备步骤,这使得能够重复或连续读取样本。使用标准的多滴定孔便于操作,并在实验设计中提供灵活性。

相似文献

1
Bacterial Adhesion Kinetics in a High Throughput Setting in Seconds-minutes Time Resolution.
Bio Protoc. 2021 Jan 20;10(23):e3844. doi: 10.21769/BioProtoc.3844.
2
High-Throughput Quantitative Measurement of Bacterial Attachment Kinetics on Seconds Time Scale.
Microb Ecol. 2019 Apr;77(3):726-735. doi: 10.1007/s00248-018-1254-5. Epub 2018 Sep 23.
4
A modified microtiter-plate test for quantification of staphylococcal biofilm formation.
J Microbiol Methods. 2000 Apr;40(2):175-9. doi: 10.1016/s0167-7012(00)00122-6.
6
Physico-chemistry of bacterial transmission versus adhesion.
Adv Colloid Interface Sci. 2017 Dec;250:15-24. doi: 10.1016/j.cis.2017.11.002. Epub 2017 Nov 5.
9
Microtiter dish biofilm formation assay.
J Vis Exp. 2011 Jan 30(47):2437. doi: 10.3791/2437.
10
Physico-chemistry from initial bacterial adhesion to surface-programmed biofilm growth.
Adv Colloid Interface Sci. 2018 Nov;261:1-14. doi: 10.1016/j.cis.2018.10.005. Epub 2018 Oct 24.

本文引用的文献

1
High-Throughput Quantitative Measurement of Bacterial Attachment Kinetics on Seconds Time Scale.
Microb Ecol. 2019 Apr;77(3):726-735. doi: 10.1007/s00248-018-1254-5. Epub 2018 Sep 23.
2
Nanoplasmonics for Real-Time and Label-Free Monitoring of Microbial Biofilm Formation.
ACS Sens. 2018 Aug 24;3(8):1499-1509. doi: 10.1021/acssensors.8b00287. Epub 2018 Aug 14.
3
Microtiter dish biofilm formation assay.
J Vis Exp. 2011 Jan 30(47):2437. doi: 10.3791/2437.
4
Relations between macroscopic and microscopic adhesion of Streptococcus mitis strains to surfaces.
Microbiology (Reading). 2004 Apr;150(Pt 4):1015-1022. doi: 10.1099/mic.0.26828-0.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验