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 Experiment Video

Updated: May 11, 2026

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

Inferring subunit stoichiometry from single molecule photobleaching.

Keegan E Hines1

  • 1Section of Neurobiology, The University of Texas at Austin, Austin, TX 78712, USA. Keegan.Hines@utexas.edu

The Journal of General Physiology
|May 29, 2013
PubMed
Summary

Single molecule photobleaching reveals protein complex stoichiometry. This study introduces a new inference model to address challenges in data interpretation and accurately estimate parameter confidence for this technique.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A primer on Bayesian inference for biophysical systems.

Biophysical journal·2015
Same author

Analyzing single-molecule time series via nonparametric Bayesian inference.

Biophysical journal·2015
Same author

Determination of parameter identifiability in nonlinear biophysical models: A Bayesian approach.

The Journal of general physiology·2014
See all related articles

Area of Science:

  • Biophysics
  • Molecular Biology
  • Biochemistry

Background:

  • Single molecule photobleaching quantifies protein complex stoichiometry by counting fluorophore steps.
  • Unobserved bleaching events create binomial distributions, complicating accurate stoichiometry determination.
  • Current methods lack robust confidence quantification for interpreting photobleaching data.

Purpose of the Study:

  • To address the ill-posed inference problem in single molecule photobleaching data.
  • To develop a general inference model for interpreting photobleaching data.
  • To provide methods for accurate parameter confidence estimation in stoichiometry studies.

Main Methods:

  • Development of a general statistical inference model for binomial distributions.

More Related Videos

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
10:43

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation
15:27

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation

Published on: February 8, 2015

Related Experiment Videos

Last Updated: May 11, 2026

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

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
10:43

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation
15:27

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation

Published on: February 8, 2015

  • Application of the model to single molecule photobleaching data.
  • Formulation of analytical methods for parameter confidence estimation.

    • Main Results:

    • Demonstrated that inferring complex composition from binomially distributed photobleaching data is nontrivial.
    • Presented a novel inference model to overcome limitations of current methods.
    • Established methods for accurately quantifying confidence in stoichiometry measurements.

    Conclusions:

    • The presented model and methods offer a rigorous analytical basis for single molecule photobleaching.
    • Improved confidence estimation enhances the reliability of stoichiometry determination.
    • This work provides a foundational framework for a widely used experimental technique.