Glutamine Glucose Detection
Glutamine Glucose Detection - Related Videos
11:04
NiO Nanoflowers for Non-Enzymatic Amperometric Detection of Glucose
0 Views •
2025
The primary objective of this article is to help researchers and scientists understand the process of glucose sensing using electrochemistry and to optimize parameters to maximize the glucose sensing response. The process of fabricating a glucose sensor is described in detail with guidelines for obtaining its best chronoamperometric response.
10:23
Glutamine Flux Imaging Using Genetically Encoded Sensors
0 Views •
Cited by 7 •
2014
This article will demonstrate how to monitor glutamine dynamics in live cells using FRET. Genetically encoded sensors allow real-time monitoring of biological molecules at a subcellular resolution. Experimental design, technical details of the experimental settings, and considerations for post-experimental analyses will be discussed for genetically encoded glutamine sensors.
08:01
LERLIC-MS/MS for In-depth Characterization and Quantification of Glutamine and Asparagine Deamidation in Shotgun Proteomics
0 Views •
Cited by 6 •
2017
Here we present a step-by-step protocol of the long-length electrostatic repulsion-hydrophilic interaction chromatography-tandem mass spectrometry (LERLIC-MS/MS) method. This is a novel methodology that enables for the first time quantification and characterization of the glutamine and asparagine deamidation isoforms by shotgun proteomics.
05:52
In Vitro Glucose Depletion Assay: A Fluorescence-Based Method to Quantify Cellular Glucose Uptake via Extracellular Glucose Depletion Measurement
0 Views •
2025
This video demonstrates an in vitro assay to indirectly measure intracellular glucose uptake. The assay uses a fluorescently-labeled glucose analog to establish a correlation between extracellular glucose depletion and intracellular glucose uptake.
02:23
Oral Glucose Tolerance Test (OGTT): Measuring Glucose Metabolism in Mice
0 Views •
2023
This video introduces how to perform an oral glucose tolerance test on a laboratory mouse.
FAQs
Selectivity comes from using a biochemical reaction associated with the metabolite being measured. Glutamine and glucose are therefore assessed through separate enzyme-catalyzed processes, with each conversion producing a measurable optical, electrical, or chemical signal. This separation allows the resulting signal to be interpreted as a concentration for the corresponding nutrient rather than as a general measure of sample composition.
These signal types provide different ways to translate enzyme activity into an analytical readout. An optical signal can represent a measurable change in the assay, while electrical or chemical signals provide alternative measurement formats. The available signal type influences how the assay can be integrated into bioengineering studies of cultures, engineered tissues, or other biological systems.
Reading both metabolites together provides more context than measuring either nutrient alone. Their concentration patterns can indicate changes in nutrient availability and cellular metabolic activity, including shifts between growth and production states. In bioengineering experiments, this paired view helps connect nutrient use with the behavior of cells or engineered biological systems.
A basic workflow begins with a biological sample, applies selective biochemical reactions for glutamine and glucose, and records the signal generated by each enzyme-catalyzed conversion. The measured signals are then used to determine the concentrations of the two metabolites. Comparing these values across samples or conditions supports evaluation of nutrient consumption and metabolic state.
Measurements are useful when researchers need to evaluate culture conditions, follow nutrient consumption, or optimize culture media. Repeated concentration data can show whether available glutamine and glucose correspond with the intended cellular state. This information supports decisions about culture design and helps assess whether a bioprocess environment favors growth, production, or another desired outcome.
In engineered tissues and biotechnology, glutamine and glucose measurements provide metabolic information for evaluating system performance. The data can help researchers monitor nutrient availability, assess cellular activity, and improve control of bioprocesses. For regenerative medicine applications, these measurements contribute to understanding whether culture conditions support the behavior required from the engineered biological system.