Time Course Infection
Time Course Infection - Related Videos
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.
04:08
Real-Time Quantitative Reverse Transcription PCR for Diagnosing Viral Infections
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2025
This video demonstrates a quantitative method for detecting viral infection using real-time reverse transcription PCR. The reverse transcription step converts the RNA to cDNA, which is then amplified via PCR cycles. The presence of viral RNA in the sample is confirmed by analyzing the amplification and dissociation curves of DNA obtained from the PCR.
08:36
Measuring Dengue Virus RNA in the Culture Supernatant of Infected Cells by Real-time Quantitative Polymerase Chain Reaction
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Cited by 7 •
2018
Real-time quantitative polymerase chain reaction analysis combined with reverse transcription (RT-qPCR) has been widely used to measure the level of RNA virus infections. Here we present a direct RT-qPCR assay, which does not require an RNA purification step, developed for the quantification of several RNA viruses, including dengue virus.
07:39
Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model
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Cited by 5 •
2021
Synthetic cystic fibrosis sputum medium (SCFM2) can be utilized in combination with both confocal laser scanning microscopy and fluorescence-activated cell sorting to observe bacterial aggregates at high resolution. This paper details methods to assess aggregate populations during antimicrobial treatment as a platform for future studies.
12:30
Use of Galleria mellonella as a Model Organism to Study Legionella pneumophila Infection
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Cited by 108 •
2013
The larva of the wax moth Galleria mellonella was recently established as an in vivo model to study Legionella pneumophila infection. Here, we demonstrate fundamental techniques to characterize the pathogenesis of Legionella in the larvae, including inoculation, measurement of bacterial virulence and replication as well as extraction and analysis of infected hemocytes.
FAQs
By comparing measurements from successive time points, researchers can determine when pathogen levels change, when cellular damage appears, and when host immune activity increases or declines. Aligning these observations helps distinguish early establishment from later progression and resolution. The resulting timeline connects pathogen behavior with corresponding biological responses rather than treating infection as a single static event.
Parallel measurements show whether changes in host cells, tissues, or organisms occur alongside pathogen replication or at a different time. This relationship can clarify how infection develops and whether immune activity coincides with reduced infection levels or later recovery. Measuring both sides of the interaction therefore provides more informative biological context than tracking either process alone.
Time-resolved measurements can identify the transition from initial infection establishment to increasing disease-related effects and eventual resolution. Researchers may compare infection levels, replication, cellular damage, and immune activity across these stages. Such comparisons help locate when important molecular or cellular events occur and show whether biological changes are early, sustained, delayed, or associated with declining infection.
Cells, tissues, or organisms should be exposed to the pathogen under controlled conditions so that differences between time points primarily reflect infection-related change. Consistent experimental conditions make measurements of pathogen levels, replication, cellular damage, or immune activity more comparable. Without that consistency, changes in the observed timeline may be difficult to attribute to infection progression.
Researchers establish defined sampling intervals, expose the chosen biological material to a pathogen, and collect samples at each interval. They then measure infection levels, pathogen replication, cellular damage, or immune activity and compare the results across time. This workflow produces a chronological dataset that can be used to map infection stages and associated host responses.
This approach is useful when researchers need to study pathogen biology, host defense, disease progression, or treatment effects as changing processes. It can also identify when molecular or cellular events occur during infection. Comparing treated and untreated timelines may show whether an intervention alters pathogen growth, host responses, or the timing of progression and resolution.