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Related Experiment Video

Updated: Nov 1, 2025

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy
07:07

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy

Published on: August 3, 2021

2.9K

In vivo glucose imaging in multiple model organisms with an engineered single-wavelength sensor.

Jacob P Keller1, Jonathan S Marvin1, Haluk Lacin1

  • 1Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.

Cell Reports
|June 23, 2021
PubMed
Summary

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This summary is machine-generated.

Scientists developed new genetically encoded glucose sensors. These tools enable high-resolution, real-time imaging of glucose metabolism and transport in living cells and organisms, advancing diabetes research.

Area of Science:

  • Metabolic Imaging
  • Molecular Biology
  • Neuroscience

Background:

  • Glucose is central to metabolism, and its dysregulation is implicated in diseases like diabetes.
  • Existing methods for measuring glucose often lack the spatial and temporal resolution needed for dynamic biological processes.

Purpose of the Study:

  • To develop and characterize a novel family of single-wavelength genetically encoded glucose sensors.
  • To utilize these sensors for high-resolution imaging of glucose dynamics in various biological systems.

Main Methods:

  • Development of genetically encoded sensors with tunable affinities (1 μM to 10 mM) and fast kinetics.
  • Application of sensors in cultured cells, neuron/glia co-cultures, Drosophila larval CNS, and zebrafish models.
  • High-resolution imaging to track glucose influx, efflux, and metabolism.
Keywords:
Drosophilaastrocytebiosensorenergy homeostasisglucoseimagingmetabolismneurontransporterszebrafish

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Related Experiment Videos

Last Updated: Nov 1, 2025

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy
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Published on: August 3, 2021

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Main Results:

  • Sensors demonstrated high signal-to-noise ratio and fast kinetics.
  • Observed approximately 3-fold faster glucose changes in astrocytes compared to neurons.
  • Identified a rostro-caudal glucose transport pathway in Drosophila CNS.
  • Visualized glucose dynamics in response to physiological stimuli (insulin, epinephrine) and perturbations in zebrafish.

Conclusions:

  • The developed glucose sensors provide unprecedented capabilities for studying glucose metabolism with high spatial and temporal resolution.
  • These tools are valuable for mechanistic characterization of glucose transporters and metabolic pathways in diverse biological contexts.
  • The sensors will facilitate in vivo imaging of glucose dynamics in behaving animals, offering new insights into metabolic regulation.