Evidence map›Paper›PMID 35044771›Full record

ArticleThe journal of physical chemistry letters2022

Systematic Assessment of the Accuracy of Subunit Counting in Biomolecular Complexes Using Automated Single-Molecule Brightness Analysis.

John S H Danial, Yuri Quintana, Uris Ros, Raed Shalaby, Eleonora G Margheritis, Sabrina Chumpen Ramirez, Christian Ungermann, Ana J Garcia-Saez, Katia Cosentino

Abstract read
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Article in The journal of physical chemistry letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

9 authors.

John S H DanialInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.
Yuri QuintanaInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.
Uris RosInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.
Raed ShalabyInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.
Eleonora G MargheritisDepartment of Biology/Chemistry and Center for Cellular Nanoanalytics (CellNanOs), University of Osnabrück, Osnabrück 49076, Germany.
Sabrina Chumpen RamirezDepartment of Biology/Chemistry and Center for Cellular Nanoanalytics (CellNanOs), University of Osnabrück, Osnabrück 49076, Germany.
Christian UngermannDepartment of Biology/Chemistry and Center for Cellular Nanoanalytics (CellNanOs), University of Osnabrück, Osnabrück 49076, Germany.
Ana J Garcia-SaezInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.ORCID https://orcid.org/0000-0002-3894-5945
Katia CosentinoInterfaculty Institute of Biochemistry, University of Tübingen, Tübingen 72076, Germany.ORCID https://orcid.org/0000-0002-3796-3500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of single-molecule brightness allows subunit counting of high-order oligomeric biomolecular complexes. Although the theory behind the method has been extensively assessed, systematic analysis of the experimental conditions required to accurately quantify the stoichiometry of biological complexes remains challenging. In this work, we develop a high-throughput, automated computational pipeline for single-molecule brightness analysis that requires minimal human input. We use this strategy to systematically quantify the accuracy of counting under a wide range of experimental conditions in simulated ground-truth data and then validate its use on experimentally obtained data. Our approach defines a set of conditions under which subunit counting by brightness analysis is designed to work optimally and helps in establishing the experimental limits in quantifying the number of subunits in a complex of interest. Finally, we combine these features into a powerful, yet simple, software that can be easily used for the analysis of the stoichiometry of such complexes.

Indexed as

Single Molecule ImagingHumansSoftware

Identifiers

PMID35044771
PMCPMC8802318

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LicenceCC BY-NC-ND
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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.