Seahorse Xf 96 Analyzer
Seahorse Xf 96 Analyzer - Related Videos
07:20
Bioenergetic Profile Experiment using C2C12 Myoblast Cells
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Cited by 190 •
2010
A description of a method for profiling mitochondrial function in cells is provided. The mitochondrial profile generated provides four parameters of mitochondrial function that can be measured in one experiment: basal respiration rate, ATP-linked respiration, proton leak, and reserve capacity.
05:46
A Device for Performing Cell Migration/Wound Healing in a 96-Well Plate
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Cited by 7 •
2017
Here, we present a protocol to perform a semi-high throughput cell migration assay on a 96-well cell culture plate. This protocol is a fast, simple and economical method to create consistent scratch wounds on a cell monolayer.
05:41
Metabolic Profile Analysis of Zebrafish Embryos
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Cited by 42 •
2013
Zebrafish represent a powerful vertebrate model that has been under-utilised for metabolic studies. Here we describe a rapid way to measure the in vivo metabolic profile of developing zebrafish that allows the comparison of different mitochondrial function parameters between genetically or pharmacologically manipulated embryos, thereby increasing the applicability of this organism.
11:40
Bioenergetics and the Oxidative Burst: Protocols for the Isolation and Evaluation of Human Leukocytes and Platelets
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Cited by 74 •
2014
Blood leukocytes and platelets can be used as a marker of overall bioenergetic health of an individual and so have the potential to monitor pathological processes and the impact of treatments. Here we describe a method to isolate and measure mitochondrial function and the oxidative burst in these cells.
08:54
Efficient Sporulation of Saccharomyces cerevisiae in a 96 Multiwell Format
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Cited by 3 •
2016
Here, sporulation of Saccharomyces cerevisiae is carried out in a 96 multiwell format.
FAQs
A decline in oxygen concentration above a well reflects cellular oxygen consumption and therefore supports analysis of mitochondrial respiration. Changes in extracellular acidification provide information about glycolytic activity. Examining both signals together helps distinguish how cells generate energy through respiration, glycolysis, or a changing balance between the two pathways under defined experimental conditions.
Automated reagent injections deliberately perturb metabolic pathways while measurements continue in real time. These perturbations can expose basal respiration, maximal respiratory capacity, and responses to pathway-specific conditions. Comparing measurements before and after injection shows how strongly cells can increase respiration or adapt their energy production when metabolic demands or pathway activities change.
Metabolic flexibility is evaluated by observing whether cells shift energy production when experimental conditions change. The combined oxygen and acidification measurements show alterations in respiratory and glycolytic activity, while reagent-induced perturbations test the capacity of cells to adjust. This approach can distinguish stable metabolic behavior from limited adaptation or pronounced pathway switching.
Researchers place a biological model in the analyzer’s 96-well format, establish defined measurement conditions, and monitor oxygen and extracellular acidification over time. Automated reagent additions then challenge metabolism during the run. The resulting traces are compared across conditions to quantify respiratory and glycolytic responses, including baseline activity and changes caused by experimental perturbations.
The platform can be applied to cultured cells, immune cells, and other biological models when investigators need real-time metabolic measurements. Researchers can compare energy production among experimental groups, examine how cellular state affects respiration or glycolysis, and evaluate responses to defined perturbations. Its 96-well format supports parallel comparisons across multiple conditions.
Metabolic profiles can connect cellular physiology with disease mechanisms by showing altered respiration, glycolysis, or metabolic adaptability. The same measurements can reveal how cells respond to drug exposure, supporting toxicity testing and therapeutic development. Comparing basal, maximal, and perturbed responses helps investigators identify whether an intervention changes overall energy production or a specific metabolic capability.