Glycolytic Rate Assay
Glycolytic Rate Assay - Related Videos
06:47
Measurement and Analysis of Extracellular Acid Production to Determine Glycolytic Rate
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Cited by 103 •
2015
Glycolysis is a defining metabolic marker in multiple biological systems. Monitoring glycolysis by measuring the extracellular flux of H+ is common, but requires correction to be quantitative and unambiguous. Here, we demonstrate how to gather and correct extracellular flux data to distinguish between respiratory and glycolytic sources of extracellular acidification.
01:24
Other Glycolytic Pathways
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2025
The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
10:49
Assays for the Specific Growth Rate and Cell-binding Ability of Rotavirus
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Cited by 4 •
2019
Here we present two protocols, one for measuring the specific growth rate and the other for the cell-binding ability of rotavirus using the plaque assay and RT-qPCR. These protocols are available for confirming the differences in phenotypes between rotavirus strains.
10:49
Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay
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Cited by 14 •
2015
This manuscript describes how herbicide metabolism rates can be effectively quantified with excised leaves from a dicot weed, thereby reducing variability and removing any possible confounding effects of herbicide uptake or translocation typically observed in whole-plant assays.
07:44
Measuring Microbial Mutation Rates with the Fluctuation Assay
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Cited by 35 •
2019
Here, a protocol is presented to perform a fluctuation assay and estimate microbial mutation rate using phenotypic markers. This protocol will enable researchers to assay mutations in diverse microbes and environments, determining how genotype and ecological context affect spontaneous mutation rates.
FAQs
Extracellular acidification serves as the assay’s main metabolic readout, but it is not interpreted as glycolysis automatically. Lactate and proton release associated with glycolysis contribute to the signal, while respiratory pathways can also influence acidification. Applying pathway-specific mitochondrial inhibitors helps separate these contributions, allowing the measured change to represent glycolytic activity more specifically.
They perturb acidification linked to mitochondrial respiration, helping researchers distinguish the respiratory contribution from the glycolytic component. This separation matters because a change in extracellular acidification alone could otherwise be difficult to assign to one energy pathway. The resulting measurement supports functional comparisons of cellular energy metabolism under defined experimental conditions.
Metabolic flexibility is reflected in how cells shift between glycolysis and oxidative phosphorylation under changing conditions. A Glycolytic Rate Assay can therefore compare whether a neural cell model relies more heavily on glycolytic or respiratory energy production, rather than reporting only a single undifferentiated metabolic value. This helps identify altered bioenergetic phenotypes.
A typical workflow uses living cells, records extracellular acidification, and introduces pathway-specific inhibitors to perturb mitochondrial respiration. Researchers interpret the acidification response in relation to that respiratory perturbation, rather than treating the initial signal as a standalone glycolysis value. This approach enables comparisons among neural samples tested under different metabolic conditions.
The method can be used to compare metabolic phenotypes in neurons, astrocytes, microglia, and other neural models. Examining these cell types separately can show whether glycolytic activity and respiratory contributions differ across cellular roles. Such comparisons are relevant when investigating how energy metabolism supports neural function or changes during dysfunction.
Measurements can be compared across nutrient, activity, or disease conditions to identify shifts between glycolysis and oxidative phosphorylation. In neuroscience research, these changes may help connect altered cellular bioenergetics with neural function or dysfunction. The assay therefore provides a functional basis for evaluating whether a metabolic phenotype changes with a specific neural state or experimental condition.