Literature DB >> 34235654

Single-Cell Analysis of Mycobacteria Using Microfluidics and Time-Lapse Microscopy.

Giulia Manina1, Neeraj Dhar2.   

Abstract

Studies on cell-to-cell phenotypic variation in microbial populations, with individuals sharing the same genetic background, provide insights not only on bacterial behavior but also on the adaptive spectrum of the population. Phenotypic variation is an innate property of microbial populations, and this can be further amplified under stressful conditions, providing a fitness advantage. Furthermore, phenotypic variation may also precede a latter step of genetic-based diversification, resulting in the transmission of the most beneficial phenotype to the progeny. While population-wide studies provide a measure of the collective average behavior, single-cell studies, which have expanded over the last decade, delve into the behavior of smaller subpopulations that would otherwise remain concealed. In this chapter, we describe approaches to carry out spatiotemporal analysis of individual mycobacterial cells using time-lapse microscopy. Our method encompasses the fabrication of a microfluidic device; the assembly of a microfluidic system suitable for long-term imaging of mycobacteria; and the quantitative analysis of single-cell behavior under varying growth conditions. Phenotypic variation is conceivably associated to the resilience and endurance of mycobacterial cells. Therefore, shedding light on the dynamics of this phenomenon, on the transience or stability of the given phenotype, on its molecular bases and its functional consequences, offers new scope for intervention.

Entities:  

Keywords:  Fluorescent reporters; Gene expression; Growth rate; Image analysis; Microfluidics; Mycobacteria; Protein localization; Single-cell biology; Spatiotemporal dynamics; Time-lapse microscopy

Year:  2021        PMID: 34235654     DOI: 10.1007/978-1-0716-1460-0_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  43 in total

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Journal:  Nat Rev Microbiol       Date:  2006-08       Impact factor: 60.633

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Journal:  J Mol Biol       Date:  2019-06-28       Impact factor: 5.469

5.  Temporal and intrinsic factors of rifampicin tolerance in mycobacteria.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-29       Impact factor: 11.205

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Journal:  Cell       Date:  2018-03-08       Impact factor: 41.582

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Authors:  James C W Locke; Jonathan W Young; Michelle Fontes; María Jesús Hernández Jiménez; Michael B Elowitz
Journal:  Science       Date:  2011-10-06       Impact factor: 47.728

Review 8.  Functional roles for noise in genetic circuits.

Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

9.  Memory and modularity in cell-fate decision making.

Authors:  Thomas M Norman; Nathan D Lord; Johan Paulsson; Richard Losick
Journal:  Nature       Date:  2013-11-20       Impact factor: 49.962

Review 10.  Switching Lifestyles Is an in vivo Adaptive Strategy of Bacterial Pathogens.

Authors:  Stuti K Desai; Linda J Kenney
Journal:  Front Cell Infect Microbiol       Date:  2019-12-11       Impact factor: 5.293

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