<i>In vitro</i> gene expression dissected: chemostat surgery for <i>Mycobacterium tuberculosis</i>

James, Brian W.; Bacon, Joanna; Hampshire, Tobias; Morley, Kim; Marsh, Philip

doi:10.1002/cfg.184

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…A special form of chemostat culture system, the controlled batch culture, has been proposed as a dormancy model, which offers a well-controlled environment with precise levels of nutrients, oxygen and pH ( James et al. , 2002 ).…”

Section: In Vitro Modelsmentioning

confidence: 99%

Dormancy models for <italic>Mycobacterium tuberculosis</italic>: A minireview

Alnimr¹

2015

Braz. J. Microbiol.

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Dormancy models for Mycobacterium tuberculosis play important roles in understanding various aspects of tuberculosis pathogenesis and in the testing of novel therapeutic regimens. By simulating the latent tuberculosis infection, in which the bacteria exist in a non-replicative state, the models demonstrate reduced susceptibility to antimycobacterial agents. This minireview outlines the models available for simulating latent tuberculosis both in vitro and in several animal species. Additionally, this minireview discusses the advantages and disadvantages of these models for investigating the bacterial subpopulations and susceptibilities to sterilization by various antituberculosis drugs.

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Section: In Vitro Modelsmentioning

confidence: 99%

Dormancy models for <italic>Mycobacterium tuberculosis</italic>: A minireview

Alnimr¹

2015

Braz. J. Microbiol.

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“…We cultured M. tuberculosis using CAMR Mycobacterium medium MOD2, which contains glycerol as the limiting nutrient (37). Continuous cultures were performed at two different growth rates to steady state under defined and controlled conditions at pH 6.9, at a temperature of 37°C, and at a dissolved oxygen tension of 10% (14).…”

Section: Methodsmentioning

confidence: 99%

Regrowth of Mycobacterium tuberculosis Populations Exposed to Antibiotic Combinations Is Due to the Presence of Isoniazid and Not Bacterial Growth Rate

Hendon-Dunn

Pertinez

Marriott

et al. 2019

Antimicrob Agents Chemother

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Modulation of the growth rate in Mycobacterium tuberculosis is key to its survival in the host, particularly with regard to its adaptation during chronic infection, when the growth rate is very slow. The resulting physiological changes influence the way in which this pathogen interacts with the host and responds to antibiotics. Therefore, it is important that we understand how the growth rate impacts antibiotic efficacy, particularly with respect to recovery/relapse.

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“…A particular advantage of continuous culture when used in combination with microarray analyses is the reproducibility that is attained, both between and within experiments. This allows more accurate and precise determinations of changes in gene expression [7,34]. …”

Section: In Vitro Models Of Latent Bacillimentioning

confidence: 99%

Transcriptional Responses of Mycobacterium tuberculosis Exposed to Adverse Conditions In Vitro

Bacon¹,

Marsh²

2007

CMM

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Mycobacterium tuberculosis encounters a range of stimuli in the host. Understanding the environmental cues that initiate the transcriptional response of M. tuberculosis, which enable the bacterium to replicate and/or survive in the host, will provide markers that are specific to different stages of disease, further refining the search for improved treatments and vaccines. Studying M. tuberculosis gene expression in vivo is technically challenging and more amenable in vitro experiments are being used to aid interpretation and to dissect the signals that are responsible for controlling subsets of genes. Key parameters that affect the growth of a pathogen in the host include nutrient status, environmental pH, oxygen availability, and host defences. Studying gene expression, pathogenicity, and physiology of M. tuberculosis that has been exposed to these relevant host conditions in vitro will further increase our understanding of the virulence factors that M. tuberculosis requires to establish disease. Complementary information obtained by metabolic flux analysis, proteomics, and regulatory networks analysis will enable a clearer picture of how transcriptional responses translate to changes in the metabolome and physiology of the organism.

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In vitro gene expression dissected: chemostat surgery for Mycobacterium tuberculosis

Cited by 8 publications

References 10 publications

Dormancy models for <italic>Mycobacterium tuberculosis</italic>: A minireview

Dormancy models for <italic>Mycobacterium tuberculosis</italic>: A minireview

Regrowth of Mycobacterium tuberculosis Populations Exposed to Antibiotic Combinations Is Due to the Presence of Isoniazid and Not Bacterial Growth Rate

Transcriptional Responses of Mycobacterium tuberculosis Exposed to Adverse Conditions In Vitro

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