Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis

Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then detail procedures for quantification and analysis. TKAs provide longitudinal data reflecting the dynamics of the antibiotic effect over time against a planktonic culture and quantify the concentration-effect relationship. For complete details on the use and execution of this protocol, please refer to Van Wijk et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-03-01
DOI
https://doi.org/10.1016/j.xpro.2025.103643
Citations
5
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
6.98

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article

Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis

Diana Angélica Aguilar-Ayala, Jordana Galizia, Laura Cioetto-Mazzabò, Ainhoa Lucía et al.
5 citations
STAR Protocols
Tuberculosis Research and Epidemiology
6.98
article

Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis

Diana Angélica Aguilar-Ayala, Jordana Galizia, Laura Cioetto-Mazzabò, Ainhoa Lucía, Riccardo Manganelli, Marie Sylvianne Rabodoarivelo, Jan Rybniker, Maria Rosalia Pasca, Deborah Recchia, Michael Dal Molin, Lindsay Sonnenkalb, Giulia Degiacomi, Eik Hoffmann, Santiago Ramón‐García, Cyril Gaudin
article en
5 citations

Abstract

Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then detail procedures for quantification and analysis. TKAs provide longitudinal data reflecting the dynamics of the antibiotic effect over time against a planktonic culture and quantify the concentration-effect relationship. For complete details on the use and execution of this protocol, please refer to Van Wijk et al.<sup>1</sup>.

STAR ProtocolsVol. 6(1)
University of Padua (IT), University of Cologne (DE), University of Pavia (IT), Universidad de Zaragoza (ES), Institut Pasteur de Lille (FR), Instituto de Salud Carlos III (ES), Fundacion Agencia Aragonesa para la Investigacion y el Desarrollo (ES), Center for Infection and Immunity of Lille (FR), Research Center Borstel - Leibniz Lung Center (DE)
Bill and Melinda Gates Foundation, University of Dundee, European Federation of Pharmaceutical Industries and Associations, Innovative Health Initiative, European Commission, Horizon 2020 Framework Programme
Zero hunger
Openalex Percentile: Top 3%
Tuberculosis Research and Epidemiology
6.98
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