Single-cell level methods for studying the effect of antibiotics on bacteria during infection

被引:16
作者
Kogermann, Karin [1 ]
Putrins, Marta [2 ]
Tenson, Tanel [2 ]
机构
[1] Univ Tartu, Inst Pharm, EE-50411 Tartu, Estonia
[2] Univ Tartu, Inst Technol, EE-50411 Tartu, Estonia
关键词
Antibiotics; Phenotypic heterogeneity; Antibacterial susceptibility; In vivo animal infection models; Single-cell level methods; Raman spectroscopy; Fluorescence; ENHANCED RAMAN-SCATTERING; LIVING CELLS; RAPID DETECTION; MOUSE MODEL; SPECTROSCOPIC IDENTIFICATION; MYCOBACTERIUM-TUBERCULOSIS; FLUORESCENCE MICROSCOPY; PSEUDOMONAS-AERUGINOSA; STAPHYLOCOCCUS-AUREUS; DRUG DISCOVERY;
D O I
10.1016/j.ejps.2016.08.042
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Considerable evidence about phenotypic heterogeneity among-bacteria during infection has accumulated during recent years. This heterogeneity has to be considered if the mechanisms of infection and antibiotic action are to be understood, so we need to implement existing and find novel methods to monitor the effects of antibiotics on bacteria at the single-cell level. This review provides an overview of methods by which this aim can be achieved. Fluorescence label-based methods and Raman scattering as a label-free approach are discussed in particular detail. Other label-free methods that can provide single-cell level information, such as impedance spectroscopy and surface plasmon resonance, are briefly summarized. The advantages and disadvantages of these different methods are discussed in light of a challenging in vivo environment. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:2 / 16
页数:15
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