Literature DB >> 22954584

A microfluidic system for long-term time-lapse microscopy studies of mycobacteria.

Solmaz A Golchin1, James Stratford, Richard J Curry, Johnjoe McFadden.   

Abstract

Phenotypic heterogeneity in bacterial populations is thought to contribute to a number of important phenomena including sporulation and persistence. The latter has clinical implications in many diseases such as tuberculosis, where persistence of Mycobacterium tuberculosis within the human host is believed to be the root cause of latent tuberculosis and the ability of a minority population of cells to survive antibiotic exposure, despite being genetically identical to the bulk population that are killed. However, phenotypic variations caused by non-genetic mechanisms are difficult to study because of the transient nature of the persistent state and thereby the requirement to observe individual cells in real-time. Recently, microfluidics, combined with time-lapse microscopy, has become a powerful tool for studying population heterogeneity in bacteria. However, growth and replication of mycobacterial cells provide particular problems for the development of microfluidic systems due to their tendency to grow in three dimensions. We here describe a novel microfluidic device for the observation of growth and antibiotic killing in individual mycobacterial cells. We constructed a microfluidic device suitable for studying single cell behavior in mycobacteria. The growth of single cells of Mycobacterium smegmatis expressing green fluorescent protein was monitored using a confocal laser scanning microscope. Within the device M. smegmatis cells were tightly confined within a hydrogel matrix thus promoting planar growth. Cell growth and killing was observed in the device with dead cells highlighted by uptake of propidium iodide. Conclusions/Significance. We demonstrate that our device allows real-time analysis and long-term culture of single cells of mycobacteria, and is able to support the study of cell death during the application of antibiotics. The device will allow observation of individual cells' cell genealogy to be determined and direct observation of rare states, such as persistence.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22954584     DOI: 10.1016/j.tube.2012.06.006

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  16 in total

1.  Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing.

Authors:  Hui Li; Peter Torab; Kathleen E Mach; Christine Surrette; Matthew R England; David W Craft; Neal J Thomas; Joseph C Liao; Chris Puleo; Pak Kin Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-08       Impact factor: 11.205

Review 2.  Mycobacterial Growth.

Authors:  Iria Uhía; Kerstin J Williams; Vahid Shahrezaei; Brian D Robertson
Journal:  Cold Spring Harb Perspect Med       Date:  2015-05-08       Impact factor: 6.915

3.  Confinement-Induced Drug-Tolerance in Mycobacteria Mediated by an Efflux Mechanism.

Authors:  Brilliant B Luthuli; Georgiana E Purdy; Frederick K Balagaddé
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

4.  A High Throughput Screening Assay for Anti-Mycobacterial Small Molecules Based on Adenylate Kinase Release as a Reporter of Cell Lysis.

Authors:  Lauren Forbes; Katherine Ebsworth-Mojica; Louis DiDone; Shao-Gang Li; Joel S Freundlich; Nancy Connell; Paul M Dunman; Damian J Krysan
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

5.  Time-resolved, single-cell analysis of induced and programmed cell death via non-invasive propidium iodide and counterstain perfusion.

Authors:  Christina E M Krämer; Wolfgang Wiechert; Dietrich Kohlheyer
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

Review 6.  Microfluidics for Antibiotic Susceptibility and Toxicity Testing.

Authors:  Jing Dai; Morgan Hamon; Sachin Jambovane
Journal:  Bioengineering (Basel)       Date:  2016-10-09

7.  ODELAM: Rapid Sequence-independent Detection of Drug Resistance in Mycobacterium tuberculosis Isolates.

Authors:  Thurston Herricks; Magdalena Donczew; David R Sherman; John D Aitchison
Journal:  Bio Protoc       Date:  2021-05-20

8.  The granuloma in tuberculosis: dynamics of a host-pathogen collusion.

Authors:  Stefan Ehlers; Ulrich E Schaible
Journal:  Front Immunol       Date:  2013-01-07       Impact factor: 7.561

9.  Identification of the translational start site of codon-optimized mCherry in Mycobacterium tuberculosis.

Authors:  Paul Carroll; Julian Muwanguzi-Karugaba; Eduard Melief; Megan Files; Tanya Parish
Journal:  BMC Res Notes       Date:  2014-06-17

10.  BactImAS: a platform for processing and analysis of bacterial time-lapse microscopy movies.

Authors:  Igor Mekterović; Darko Mekterović; Zeljka Maglica
Journal:  BMC Bioinformatics       Date:  2014-07-25       Impact factor: 3.169

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