A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

Abstract Background Efficient high-throughput drug screening assays are necessary to enable the discovery of new anti-mycobacterial drugs. The purpose of our work was to develop and validate an assay based on live-cell imaging which can monitor the growth of two distinct phenotypes of Mycobacterium...

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Main Authors: Sadaf Kalsum, Blanka Andersson, Jyotirmoy Das, Thomas Schön, Maria Lerm
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Microbiology
Subjects:
Online Access:https://doi.org/10.1186/s12866-021-02212-3
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spelling doaj-cc6617b4ccd84bd58462497f807579e72021-06-06T11:23:24ZengBMCBMC Microbiology1471-21802021-06-0121111410.1186/s12866-021-02212-3A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypesSadaf Kalsum0Blanka Andersson1Jyotirmoy Das2Thomas Schön3Maria Lerm4Division of Inflammation and Infection, Lab 1, floor 12, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping UniversityDivision of Inflammation and Infection, Lab 1, floor 12, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping UniversityDivision of Inflammation and Infection, Lab 1, floor 12, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping UniversityDivision of Clinical Microbiology, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping UniversityDivision of Inflammation and Infection, Lab 1, floor 12, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping UniversityAbstract Background Efficient high-throughput drug screening assays are necessary to enable the discovery of new anti-mycobacterial drugs. The purpose of our work was to develop and validate an assay based on live-cell imaging which can monitor the growth of two distinct phenotypes of Mycobacterium tuberculosis and to test their susceptibility to commonly used TB drugs. Results Both planktonic and cording phenotypes were successfully monitored as fluorescent objects using the live-cell imaging system IncuCyte S3, allowing collection of data describing distinct characteristics of aggregate size and growth. The quantification of changes in total area of aggregates was used to define IC50 and MIC values of selected TB drugs which revealed that the cording phenotype grew more rapidly and displayed a higher susceptibility to rifampicin. In checkerboard approach, testing pair-wise combinations of sub-inhibitory concentrations of drugs, rifampicin, linezolid and pretomanid demonstrated superior growth inhibition of cording phenotype. Conclusions Our results emphasize the efficiency of using automated live-cell imaging and its potential in high-throughput whole-cell screening to evaluate existing and search for novel antimycobacterial drugs.https://doi.org/10.1186/s12866-021-02212-3CordingPlanktonicMycobacterium tuberculosisWhole-cell screeningAutomated live-cell imaging
collection DOAJ
language English
format Article
sources DOAJ
author Sadaf Kalsum
Blanka Andersson
Jyotirmoy Das
Thomas Schön
Maria Lerm
spellingShingle Sadaf Kalsum
Blanka Andersson
Jyotirmoy Das
Thomas Schön
Maria Lerm
A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
BMC Microbiology
Cording
Planktonic
Mycobacterium tuberculosis
Whole-cell screening
Automated live-cell imaging
author_facet Sadaf Kalsum
Blanka Andersson
Jyotirmoy Das
Thomas Schön
Maria Lerm
author_sort Sadaf Kalsum
title A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
title_short A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
title_full A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
title_fullStr A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
title_full_unstemmed A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes
title_sort high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of mycobacterium tuberculosis phenotypes
publisher BMC
series BMC Microbiology
issn 1471-2180
publishDate 2021-06-01
description Abstract Background Efficient high-throughput drug screening assays are necessary to enable the discovery of new anti-mycobacterial drugs. The purpose of our work was to develop and validate an assay based on live-cell imaging which can monitor the growth of two distinct phenotypes of Mycobacterium tuberculosis and to test their susceptibility to commonly used TB drugs. Results Both planktonic and cording phenotypes were successfully monitored as fluorescent objects using the live-cell imaging system IncuCyte S3, allowing collection of data describing distinct characteristics of aggregate size and growth. The quantification of changes in total area of aggregates was used to define IC50 and MIC values of selected TB drugs which revealed that the cording phenotype grew more rapidly and displayed a higher susceptibility to rifampicin. In checkerboard approach, testing pair-wise combinations of sub-inhibitory concentrations of drugs, rifampicin, linezolid and pretomanid demonstrated superior growth inhibition of cording phenotype. Conclusions Our results emphasize the efficiency of using automated live-cell imaging and its potential in high-throughput whole-cell screening to evaluate existing and search for novel antimycobacterial drugs.
topic Cording
Planktonic
Mycobacterium tuberculosis
Whole-cell screening
Automated live-cell imaging
url https://doi.org/10.1186/s12866-021-02212-3
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