Bioluminescence Monitoring
Bioluminescence Monitoring - Related Videos
04:47
Autonomously Bioluminescent Mammalian Cells for Continuous and Real-time Monitoring of Cytotoxicity
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Cited by 7 •
2013
Mammalian cells expressing the bacterial bioluminescence gene cassette (lux) produce light autonomously. The resulting bioluminescent dynamics upon chemical exposure have been demonstrated to reflect the treatment effects on cellular growth and metabolism, making these cells an inexpensive, continuous, real-time toxicity screening tool that can easily be adapted for high-throughput automation.
10:38
Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
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Cited by 78 •
2012
Circadian clocks function within individual cells, i.e., they are cell-autonomous. Here, we describe methods for generating cell-autonomous clock models using non-invasive, luciferase-based real-time bioluminescence technology. Reporter cells provide tractable, functional model systems for studying circadian biology.
05:43
Bioluminescent Orthotopic Pancreatic Cancer Mouse Model: A Non-invasive Technique to Monitor Cancer Progression in Mice
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2023
This video demonstrates an orthotopic model of pancreatic cancer that utilizes Matrigel for localized cell delivery and in vivo bioluminescence imaging for non-invasive monitoring of tumor progression. The orthotopic model is suited to both syngeneic and xenograft models and could be used in pre-clinical trials to investigate the impact of novel anti-cancer therapeutics on the growth of the primary pancreatic tumor and metastasis.
05:44
Monitoring Circadian Oscillations with a Bioluminescence Reporter in Organoids
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Cited by 1 •
2024
Circadian rhythms, which exist in most organisms, regulate the temporal organization of biological processes. 3D organoids have recently emerged as a physiologically relevant in vitro model. This protocol describes the use of bioluminescent reporters to observe circadian rhythms in organoids, enabling in vitro investigations of circadian rhythms in multicellular systems.
08:32
The ATP Bioluminescence Assay
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2023
In fireflies, the luciferase enzyme converts a compound called luciferin into oxyluciferin, and produces light or “luminescence” as a result. This reaction requires energy derived from ATP in order to proceed, so researchers have exploited the luciferase-luciferin interaction to gauge ATP levels in cells. Given ATP’s role as the cell’s currency of energy, the ATP bioluminescence assay can provide insight into cellular metabolism and overall cell health.In this video, JoVE discusses cellular...
FAQs
Light production depends on the luciferase reaction receiving luciferin, oxygen, and other required cofactors. If one of these components is insufficient, photon generation may not accurately represent the underlying reporter expression or biological activity. Interpreting signal intensity therefore requires attention to the reaction conditions that support reliable light emission.
Photon intensity provides a measurable output linked to reporter expression or biological activity. Changes in emitted light can therefore reveal changes in processes such as gene regulation, cell viability, or microbial growth without requiring repeated destructive sampling. This makes it possible to follow biological changes longitudinally and observe dynamic patterns as they develop.
Its low background and noninvasive character allow measurements to be repeated in the same culture system or living organism. Instead of obtaining information only from separate samples collected at different time points, researchers can follow changing light signals within an ongoing biological system. This supports clearer observation of temporal relationships and process dynamics.
A typical workflow combines a luciferase-based reporter system with its luciferin substrate and the reaction conditions needed for photon production. Researchers then detect the emitted light and relate its intensity to the biological activity being studied. Repeating measurements over time allows the resulting signal to be interpreted as a time-dependent biological profile.
This approach is useful when the goal is to follow a process continuously rather than measure only a final endpoint. Supported applications include monitoring gene regulation, microbial growth, infection, circadian rhythms, and cell viability. Its repeated, low-background measurements are especially relevant when biological activity changes over time in cultures or living organisms.
The method can provide time-resolved information about reporter expression and broader biological activity. Depending on the engineered system or assay, the signal may be used to follow regulation of genes, growth of microbes, infection-related activity, circadian patterns, or changes in cell viability. These readouts help researchers examine dynamic biology in both culture systems and living organisms.