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 d...
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          | Published in | STAR protocols Vol. 6; no. 1; p. 103643 | 
|---|---|
| Main Authors | , , , , , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          Elsevier Inc
    
        21.03.2025
     Elsevier  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2666-1667 2666-1667  | 
| DOI | 10.1016/j.xpro.2025.103643 | 
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| 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.1
[Display omitted]
•The protocol describes inoculum preparation and conditions for time-kill assays•MPN in a 96-well plate and 2.5 μL CFU plating techniques used as simultaneous readouts•Detailed procedures for quantifying and analyzing MPN and CFU data
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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. | 
    
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| AbstractList | 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.1
[Display omitted]
•The protocol describes inoculum preparation and conditions for time-kill assays•MPN in a 96-well plate and 2.5 μL CFU plating techniques used as simultaneous readouts•Detailed procedures for quantifying and analyzing MPN and CFU data
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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. 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. . 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.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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.1 •The protocol describes inoculum preparation and conditions for time-kill assays•MPN in a 96-well plate and 2.5 μL CFU plating techniques used as simultaneous readouts•Detailed procedures for quantifying and analyzing MPN and CFU data Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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. 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.1.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.1.  | 
    
| ArticleNumber | 103643 | 
    
| Author | Lucía, Ainhoa Recchia, Deborah Pasca, Maria Rosalia Manganelli, Riccardo Ramón-García, Santiago Cioetto-Mazzabò, Laura Galizia, Jordana Sonnenkalb, Lindsay Aguilar-Ayala, Diana Angélica Hoffmann, Eik Degiacomi, Giulia Rybniker, Jan Dal Molin, Michael Gaudin, Cyril Rabodoarivelo, Marie Sylvianne  | 
    
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| References | Motulsky, Christopoulos (bib7) 2003 Cochran (bib3) 1950; 6 Van Wijk, Lucía, Sudhakar, Sonnenkalb, Gaudin, Hoffmann, Dremierre, Aguilar-Ayala, Molin, Rybniker (bib1) 2023; 26 bib4 Mukamolova, Turapov, Malkin, Woltmann, Barer (bib6) 2010; 181 Jarvis, Wilrich, Wilrich (bib8) 2010; 109 Roszak, Colwell (bib2) 1987; 51 Man (bib5) 1983; 17 Man (10.1016/j.xpro.2025.103643_bib5) 1983; 17 Jarvis (10.1016/j.xpro.2025.103643_bib8) 2010; 109 Roszak (10.1016/j.xpro.2025.103643_bib2) 1987; 51 Van Wijk (10.1016/j.xpro.2025.103643_bib1) 2023; 26 Cochran (10.1016/j.xpro.2025.103643_bib3) 1950; 6 Motulsky (10.1016/j.xpro.2025.103643_bib7) 2003 Mukamolova (10.1016/j.xpro.2025.103643_bib6) 2010; 181  | 
    
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| SubjectTerms | Bacterial Load - methods Cell Biology Clinical Protocol Colony Count, Microbial - methods Colony-Forming Units Assay - methods High Throughput Screening Humans Microbial Sensitivity Tests - methods Microbiology Molecular Biology Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - growth & development Protocol  | 
    
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| Title | Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis | 
    
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