Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dimer asymmetry in signaling of blue light sensor histidine kinases.

Science advances·2026
Same author

Ultrathin polymer membranes with locked intrinsic microporosity for hydrocarbon fractionation.

Science (New York, N.Y.)·2026
Same author

Leveraging experimental vasculature data for high-resolution brain tumor simulations.

Biophysical journal·2026
Same author

Backbone Dynamics of Bottlebrush Polymers Studied by Neutron Scattering.

Macromolecules·2026
Same author

From sequence to structure: A comprehensive review of deep learning models for RNA structure prediction.

Current opinion in structural biology·2026
Same author

Rapid Identification of Superior Endogenous Signal Peptides for Heterologous Protein Secretion by Corynebacterium glutamicum Through Modular Cloning and Automation.

Microbial biotechnology·2026

Related Experiment Video

Updated: Jun 17, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.4K

Structural Analysis of a Genetically Encoded FRET Biosensor by SAXS and MD Simulations.

Ines Reinartz1,2, Mona Sarter3,4, Julia Otten5

  • 1Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Designing effective Förster resonance energy transfer (FRET)-based biosensors requires careful linker engineering. Attaching fluorescent proteins (FPs) to glucose binding proteins demonstrates that optimizing one FP

Keywords:
coarse-grained molecular dynamics (MD)glucose sensorgreen fluorescence protein (GFP)single-molecule FRETsmall angle X-ray scattering (SAXS)

More Related Videos

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.7K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
09:05

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

121

Related Experiment Videos

Last Updated: Jun 17, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.4K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.7K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
09:05

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

121

Area of Science:

  • Biochemistry
  • Biophysics
  • Molecular Biology

Background:

  • Ligand binding proteins can be engineered into Förster resonance energy transfer (FRET)-based biosensors by incorporating two fluorescent proteins (FPs).
  • These biosensors leverage conformational changes upon ligand binding to generate a measurable FRET signal.

Purpose of the Study:

  • To investigate the impact of linker sequences on the performance of FRET-based glucose biosensors.
  • To correlate structural changes measured by small angle X-ray scattering (SAXS) with FRET efficiency in glucose sensors.

Main Methods:

  • Construction and characterization of glucose sensors with varying linker sequences between glucose binding protein and FPs.
  • Measurement of glucose-induced conformational changes using small angle X-ray scattering (SAXS).
  • Comparison of SAXS data with existing single-molecule FRET results.
  • Coarse-grained molecular dynamics simulations of selected sensor constructs.

Main Results:

  • Different linker sequences resulted in varying degrees of glucose-induced conformational changes and FRET signal alterations.
  • One sensor construct showed significant changes in both energy transfer and radius of gyration upon glucose binding.
  • Molecular dynamics simulations highlighted the critical role of donor FP attachment in translating conformational changes to FRET signals.
  • The acceptor FP's attachment was found to be less critical for signal transduction.

Conclusions:

  • The precise attachment of the donor fluorescent protein is essential for efficient FRET signal transduction in response to glucose binding.
  • Optimizing the linker for one FP is sufficient for a functional FRET-based biosensor.
  • This study provides insights into rational design principles for engineering advanced FRET biosensors.