Projects per year
Abstract
Tuberculosis (TB) remains a leading cause of death worldwide. Lipid rich,
phenotypically antibiotic tolerant, bacteria are more resistant to
antibiotics and may be responsible for relapse and the need for
long-term TB treatment. We present a microfluidic system that
acoustically traps live mycobacteria, M. smegmatis, a model organism for M. tuberculosis. We then perform optical analysis in the form of wavelength modulated Raman spectroscopy (WMRS) on the trapped M. smegmatis for up to eight hours, and also in the presence of isoniazid (INH). The Raman fingerprints of M. smegmatis
exposed to INH change substantially in comparison to the unstressed
condition. Our work provides a real-time assessment of the impact of INH
on the increase of lipids in these mycobacteria, which could render the
cells more tolerant to antibiotics. This microfluidic platform may be
used to study any microorganism and to dynamically monitor its response
to different conditions and stimuli.
Original language | English |
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Article number | 236 |
Number of pages | 8 |
Journal | Communications Biology |
Volume | 3 |
DOIs | |
Publication status | Published - 14 May 2020 |
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Dive into the research topics of 'Real-time monitoring of live mycobacteria with a microfluidic acoustic-Raman platform'. Together they form a unique fingerprint.Projects
- 3 Finished
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Resonant and shaped photonics for under: Resonant and shaped photonics for understanding the physical and biomedical world
Dholakia, K. (PI) & Gather, M. C. (CoI)
1/08/17 → 31/07/22
Project: Standard
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IMI PREDICT TB: EU Innovative Medicines Initiative (IMI) 75% account
Gillespie, S. H. (PI)
1/05/12 → 31/10/17
Project: Standard
Profiles
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Robert Hammond
Person: Academic
Datasets
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Data underpinning: Real-time monitoring of live mycobacteria with a microfluidic acoustic-Raman platform
Baron, V. O. (Creator), Chen, M. (Creator), Hammarstrom, B. (Creator), Hammond, R. J. H. (Creator), Glynne-Jones, P. (Creator), Gillespie, S. H. (Creator) & Dholakia, K. (Creator), University of St Andrews, 25 Mar 2020
DOI: 10.17630/8fd4d829-b63b-4e72-a14e-921eee1638a7
Dataset
File