Evidence map›Paper›PMID 23712552›Full record

ArticleThe Journal of general physiology2013

Inferring subunit stoichiometry from single molecule photobleaching.

Keegan E Hines

Abstract read
In one paragraph

Article in The Journal of general physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Exploring Biophysics at the Membrane with Single-Molecule TIRF Microscopy.Advances in experimental medicine and biology · 2026
    Review
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  14. Illuminating amyloid fibrils: Fluorescence-based single-molecule approaches.Computational and structural biotechnology journal · 2021
    Review
  15. What is the correct stoichiometry of Kv2.1:Kv6.4 heteromers?Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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  20. SUMOylation determines the voltage required to activate cardiacProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Keegan E HinesSection of Neurobiology, The University of Texas at Austin, Austin, TX 78712, USA. Keegan.Hines@utexas.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single molecule photobleaching is a powerful tool for determining the stoichiometry of protein complexes. By attaching fluorophores to proteins of interest, the number of associated subunits in a complex can be deduced by imaging single molecules and counting fluorophore photobleaching steps. Because some bleaching steps might be unobserved, the ensemble of steps will be binomially distributed. In this work, it is shown that inferring the true composition of a complex from such data is nontrivial because binomially distributed observations present an ill-posed inference problem. That is, a unique and optimal estimate of the relevant parameters cannot be extracted from the observations. Because of this, a method has not been firmly established to quantify confidence when using this technique. This paper presents a general inference model for interpreting such data and provides methods for accurately estimating parameter confidence. The formalization and methods presented here provide a rigorous analytical basis for this pervasive experimental tool.

Indexed as

Models, StatisticalFluorescence Recovery After PhotobleachingPhotobleachingProtein SubunitsProtein Subunits

Identifiers

PMID23712552
PMCPMC3664702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.