Glycolytic Flux
Glycolytic Flux - 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...
05:39
Extracellular Flux Assay in 3D Spheroids: A Method for Measuring the Metabolic Activity of Pancreatic Tumor Spheroids
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2023
This protocol describes the technique for performing extracellular flux assay on 3D spheroids generated from the co-culture of pancreatic cancer cells (Patu8902) and activated pancreatic fibroblasts (PS1) to measure the two major energy-producing pathways, glycolysis and mitochondrial respiration.
07:45
Metabolic Characterization of Polarized M1 and M2 Bone Marrow-derived Macrophages Using Real-time Extracellular Flux Analysis
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Cited by 275 •
2015
Metabolic reprogramming is a characteristic and prerequisite for M1 and M2 macrophage polarization. This manuscript describes an assay for the measurement of fundamental parameters of glycolysis and mitochondrial function in mouse bone marrow-derived macrophages. This tool can be applied to investigate how particular factors affect the macrophage’s metabolism and phenotype.
09:05
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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2019
The presented protocol uses the eddy covariance method at non-typical locations, applicable to all types of short-canopy ecosystems with limited area, on a currently reforested windthrow site in Poland. Details of measuring site setup rules, flux calculations and quality control, and final result analysis, are described.
FAQs
Glucose availability and the activity of rate-controlling enzymes are central determinants. When glucose supply changes, the amount of carbon entering glycolysis can change accordingly. Enzyme activity further regulates how efficiently that carbon progresses through the pathway. Together, these variables connect cellular metabolic demand with the rate of glucose processing and energy generation.
Rate-controlling enzymes help determine how quickly glucose-derived carbon advances through glycolysis. Their activity provides a regulatory point between glucose availability and downstream production of pyruvate, ATP, and NADH. Examining this control is important because a change in glucose supply alone may not explain the overall flux if enzyme activity limits or redirects pathway progression.
Pyruvate provides two major downstream options described in this pathway context. It can enter mitochondria, or it can be reduced to lactate. Therefore, glycolytic activity does not end with pyruvate formation; its interpretation also depends on which route follows. This distinction helps connect glucose processing with the cell’s broader metabolic state.
As glucose-derived carbon moves through glycolysis, the pathway generates ATP and NADH in addition to producing pyruvate. ATP reflects an energy-producing outcome, whereas NADH represents another product of the pathway that accompanies glucose breakdown. Considering these outputs helps relate glycolytic flux to cellular energy production rather than treating it as carbon movement alone.
In neuroscience, measurements of glycolytic flux help distinguish how neurons and glial cells fuel activity. Comparing flux across these cell types can clarify their metabolic roles and how they support energetic demands. This information provides a framework for studying brain energetics, particularly when cellular activity requires coordinated use of glucose-derived energy.
Assessing glycolytic flux during hypoxia or injury helps researchers examine how brain cells respond when metabolic conditions are disrupted. The measurement can reveal changes in glucose processing and energy-related pathway behavior in neurons and glial cells. These observations support analysis of altered brain energetics and the metabolic responses associated with cellular stress.
Glycolytic flux connects glucose handling with the energetic demands of neural cells, making it relevant to neurodegeneration research. Measurements can help identify how neuronal and glial metabolism changes in disease-related contexts and may reveal metabolic processes that warrant further investigation as therapeutic targets. Its value lies in linking pathway behavior with broader brain-energy dysfunction.