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Reporter-Based Assays for High-Throughput Drug Screening against Mycobacterium abscessus

Overview of attention for article published in Frontiers in Microbiology, November 2017
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Title
Reporter-Based Assays for High-Throughput Drug Screening against Mycobacterium abscessus
Published in
Frontiers in Microbiology, November 2017
DOI 10.3389/fmicb.2017.02204
Pubmed ID
Authors

Rashmi Gupta, Mandy Netherton, Thomas F. Byrd, Kyle H. Rohde

Abstract

Mycobacterium abscessus is a non-tuberculous mycobacterium that causes pulmonary and non-pulmonary infections. M. abscessus is resistant to many chemotherapeutic agents and the current treatment options show poor clinical outcomes. Thus, there is a dire need to find new antimicrobials effective at killing M. abscessus. Screening drug libraries to identify potential antimicrobials has been impeded by the lack of validated HTS assays for M. abscessus. In this study, we developed two 384-well high-throughput screening assays using fluorescent and bioluminescent reporter strains of M. abscessus for drug discovery. Optimization of inoculum size, incubation time and the volume-per-well based on Z-factor and signal intensity yielded two complementary, robust tools for M. abscessus drug discovery with Z-factor > 0.8. The MIC of known drugs, amikacin and clarithromycin, as determined by bioluminescence was in agreement with the published MIC values. A proof-of-concept screen of 2,093 natural product-inspired compounds was conducted using the 384-well bioluminescent assay to identify novel scaffolds active against M. abscessus. Five active "hit" compounds identified in this pilot screen were confirmed and characterized by a CFU assay and MIC determination. Overall, we developed and validated a 384-well screen that offers simple, sensitive and fast screening of compounds for activity against this emerging pathogen. To our knowledge, this is the first reporter-based high-throughput screening study aimed at M. abscessus drug discovery.

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Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Bachelor 7 16%
Researcher 5 11%
Student > Master 5 11%
Student > Postgraduate 4 9%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 6 13%
Chemistry 4 9%
Immunology and Microbiology 4 9%
Other 6 13%
Unknown 7 16%