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

Danial, J. S. H., Quintana, Y., Ros, U., Shalaby, R., Margheritis, E. G., Chumpen Ramirez, S., et al. (2022). Systematic Assessment of the Accuracy of Subunit Counting in Biomolecular Complexes Using Automated Single-Molecule Brightness Analysis. The Journal of Physical Chemistry Letters, 13(3), 822-829. doi:10.1021/acs.jpclett.1c03835.

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 Creators:
Danial, John S. H.1, Author
Quintana, Yuri1, Author
Ros, Uris1, Author
Shalaby, Raed1, Author
Margheritis, Eleonora G.1, Author
Chumpen Ramirez, Sabrina1, Author
Ungermann, Christian1, Author
Garcia-Saez, Ana J., Author
Garcia-Saez, Ana J.2, 3, Author                 
Cosentino, Katia1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Interfaculty Institute for Biochemistry, Universität Tübingen, ou_persistent22              
3Institute for Genetics, CECAD Research Center, University of Cologne, Cologne, Germany, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2021-11-222021-12-102022-01-192022-01
 Publication Status: Issued
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1021/acs.jpclett.1c03835
BibTex Citekey: danial_systematic_2022
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Title: The Journal of Physical Chemistry Letters
  Abbreviation : J. Phys. Chem. Lett.
Source Genre: Journal
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Publ. Info: Washington, DC : American Chemical Society
Pages: - Volume / Issue: 13 (3) Sequence Number: - Start / End Page: 822 - 829 Identifier: ISSN: 1948-7185
CoNE: https://pure.mpg.de/cone/journals/resource/1948-7185