Evidence map›Paper›PMID 26636946›Full record

ArticleBiophysical journal2015

Automated Analysis of Single-Molecule Photobleaching Data by Statistical Modeling of Spot Populations.

Clarissa Liesche, Kristin S Grussmayer, Michael Ludwig, Stefan Wörz, Karl Rohr, Dirk-Peter Herten, Joël Beaudouin, Roland Eils

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Single-Molecule Stoichiometry of Supramolecular Complexes.Journal of the American Chemical Society · 2024
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  11. Determining the correct stoichiometry of Kv2.1/Kv6.4 heterotetramers, functional in multiple stoichiometrical configurations.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Quantitative microscopy based on single-molecule fluorescence.Current opinion in chemical biology · 2017
    Review
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  14. Article
  15. 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

8 authors.

Clarissa LiescheDivision of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
Kristin S GrussmayerCellNetworks Cluster and Institute for Physical Chemistry, BioQuant, Heidelberg University, Heidelberg, Germany.
Michael LudwigCellNetworks Cluster and Institute for Physical Chemistry, BioQuant, Heidelberg University, Heidelberg, Germany.
Stefan WörzDivision of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
Karl RohrDivision of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
Dirk-Peter HertenCellNetworks Cluster and Institute for Physical Chemistry, BioQuant, Heidelberg University, Heidelberg, Germany.
Joël BeaudouinDivision of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
Roland EilsDivision of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany. Electronic address: r.eils@dkfz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of fluorophores within a molecule complex can be revealed by single-molecule photobleaching imaging. A widely applied strategy to analyze intensity traces over time is the quantification of photobleaching step counts. However, several factors can limit and bias the detection of photobleaching steps, including noise, high numbers of fluorophores, and the possibility that several photobleaching events occur almost simultaneously. In this study, we propose a new approach, to our knowledge, to determine the fluorophore number that correlates the intensity decay of a population of molecule complexes with the decay of the number of visible complexes. We validated our approach using single and fourfold Atto-labeled DNA strands. As an example we estimated the subunit stoichiometry of soluble CD95L using GFP fusion proteins. To assess the precision of our method we performed in silico experiments showing that the estimates are not biased for experimentally observed intensity fluctuations and that the relative precision remains constant with increasing number of fluorophores. In case of fractional fluorescent labeling, our simulations predicted that the fluorophore number estimate corresponds to the product of the true fluorophore number with the labeling fraction. Our method, denoted by spot number and intensity correlation (SONIC), is fully automated, robust to noise, and does not require the counting of photobleaching events.

Indexed as

Models, StatisticalPhotobleachingAutomationBase SequenceDNAfas ReceptorFluorescent DyesImage Processing, Computer-AssistedMicroscopyModels, MolecularNucleic Acid ConformationProtein MultimerizationProtein Structure, QuaternaryDNAfas ReceptorFluorescent Dyes

Identifiers

PMID26636946
PMCPMC4675885

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Registered trials

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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.