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Related Experiment Video

Updated: Oct 3, 2025

Quantification of Subcellular Glycogen Distribution in Skeletal Muscle Fibers using Transmission Electron Microscopy
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An optimized method for tissue glycogen quantification.

Kyle J Schaubroeck1, Brooks P Leitner1, Rachel J Perry1

  • 1Departments of Cellular & Molecular Physiology and Internal Medicine (Endocrinology), Yale School of Medicine, New Haven, Connecticut, USA.

Physiological Reports
|February 18, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a new, cost-effective method for measuring tissue glycogen. The streamlined protocol accurately quantifies glycogen, even at low concentrations, aiding metabolic research.

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Last Updated: Oct 3, 2025

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Area of Science:

  • Biochemistry
  • Metabolic Research
  • Analytical Chemistry

Background:

  • Glycogen is crucial for glucose homeostasis and energy during exercise.
  • Accurate glycogen measurement is vital for metabolic research but current methods have limitations.
  • Existing methods suffer from poor sensitivity, high sample requirements, and technical variability.

Purpose of the Study:

  • To develop a streamlined and versatile protocol for glycogen extraction and quantification.
  • To overcome the limitations of previous glycogen detection methods.
  • To enable precise glycogen measurement, especially at low concentrations and in various physiological states.

Main Methods:

  • A streamlined glycogen extraction protocol involving a single centrifugation step.
  • An optimized phenol-sulfuric acid assay for glycogen quantification.
  • Validation of the method using small tissue sample masses (20 mg).

Main Results:

  • The method allows glycogen extraction from as little as 20 mg of tissue.
  • The assay demonstrates high precision (Intra-assay %CV 5-10%) and sensitivity.
  • The cost of materials is approximately 10 cents per sample.

Conclusions:

  • This optimized protocol offers a precise, sensitive, and cost-effective way to measure ex vivo tissue glycogen.
  • The method is suitable for assessing glycogen content across a wide range of concentrations, including extremes.
  • It provides a valuable tool for advancing metabolic research, particularly concerning hypoglycemia and exercise physiology.