Bioluminescent Bacterial Infection
Bioluminescent Bacterial Infection - Related Videos
02:02
Bioluminescence Imaging of Bacterial Infections in Mice
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2026
Source: de Vries, C. R., et al., A Delayed Inoculation Model of Chronic Pseudomonas aeruginosa Wound Infection. J. Vis. Exp. (2020).This video demonstrates a bioluminescent imaging technique to monitor bacterial infection progression in a live mouse model. Pathogenic bacteria engineered with the luxABCDE reporter system emit light at the infection site, allowing visualization of metabolically active bacteria. By imaging the mouse over time, researchers can non-invasively track infection...
04:35
Tracking Bacterial Infection Dynamics in a Mouse Using Bioluminescence
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2025
Source: Valentine, M. E., et al. Generation of In-Frame Gene Deletion Mutants in Pseudomonas aeruginosa and Testing for Virulence Attenuation in a Simple Mouse Model of Infection. J. Vis. Exp. (2020)This video demonstrates the use of bioluminescence to visualize and compare the in vivo behavior of virulent and attenuated bacterial strains in mice. It outlines the preparation of bioluminescent bacterial suspensions and their intraperitoneal injection into mice. The virulent strain exhibits...
02:12
Real-Time Imaging of Bacterial Infection in a Mouse Model Using Bioluminescence
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2026
Source: Valentine, M. E., et al., Generation of In-Frame Gene Deletion Mutants in Pseudomonas aeruginosa and Testing for Virulence Attenuation in a Simple Mouse Model of Infection. J. Vis. Exp. (2020)This video demonstrates the use of a bioluminescence-based imaging approach to monitor bacterial infection in a live mouse model. Sequential bioluminescent and X-ray imaging enables real-time visualization and anatomical localization of infection spread throughout the host.
02:07
Bioluminescence Imaging to Track Bacterial Infection and Wound Healing in a Mouse Model
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2026
Source: Hunt, A. M. A., et al. Come to the Light Side: In Vivo Monitoring of Pseudomonas aeruginosa Biofilm Infections in Chronic Wounds in a Diabetic Hairless Murine Model. J. Vis. Exp.(2017).This video demonstrates the procedure for assessing infection clearance and healing progression in a wounded diabetic mouse using bioluminescent and microscopic images.
05:06
Bioluminescent Bacterial Imaging In Vivo
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Cited by 9 •
2012
This article describes the administration of lux-tagged bacteria to mice and subsequent in vivo analysis using IVIS bioluminescence imaging.
FAQs
Photon production depends on a luciferase-based reaction involving reduced flavin, a long-chain aldehyde, and oxygen. Oxidation of these reactants generates photons, while bacterial lux genes often encode the machinery supporting the process. Because the reaction occurs in the bacteria, emitted light can serve as a signal for following infection-related microbial activity.
lux genes connect bacterial biology to experimental measurement. When bacteria use the gene system that supports light production, researchers can follow the infection in a living system rather than depend only on observations made after sampling. Comparing emitted light across time helps reveal patterns of microbial growth or decline within the same study.
Oxygen is a necessary reactant in the light-producing chemistry, so it is part of the biochemical context behind the measured signal. Together with reduced flavin and a long-chain aldehyde, oxygen participates in oxidation that generates photons. Recognizing these reactants helps researchers interpret the signal as an output of bacterial metabolism during infection studies.
An experimental workflow uses a bioluminescent bacterial strain in a living infection system, followed by repeated measurement of emitted light. Researchers relate the signal over time to microbial growth, bacterial clearance, and tissue dissemination, while also examining inflammation and host responses. This timeline enables comparisons among antimicrobial or immune-based treatment conditions within the same research framework.
Bioluminescent bacterial infection studies can evaluate antimicrobial and immune-based treatments by comparing infection-related light between experimental conditions. Researchers can then assess whether the observed pattern is consistent with bacterial clearance or continued infection and examine how treatment relates to inflammation and dissemination. The approach links treatment effectiveness with changing host-pathogen interactions.
In immunology and infection research, the method is valuable because it joins real-time imaging with host-response analysis. Researchers can follow infection dynamics while investigating inflammation, tissue dissemination, bacterial clearance, and interactions between microbes and host tissues. This combined perspective supports questions about how infection changes over time and how immune or therapeutic interventions alter that course.