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Model-independent counting of molecules in single-molecule localization microscopy

Most biomolecular processes rely on tightly controlled stoichiometries, from the formation of molecular assemblies to cellular signaling. Single-molecule localization micro­scopy studies of fluorophore blinking offer a promising route to probe oligomeric states. Here we show that the distribution of...

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Detalles Bibliográficos
Autores principales: Hummer, Gerhard, Fricke, Franziska, Heilemann, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Cell Biology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221595/
https://www.ncbi.nlm.nih.gov/pubmed/27466316
http://dx.doi.org/10.1091/mbc.E16-07-0525
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author Hummer, Gerhard
Fricke, Franziska
Heilemann, Mike
author_facet Hummer, Gerhard
Fricke, Franziska
Heilemann, Mike
author_sort Hummer, Gerhard
collection PubMed
description Most biomolecular processes rely on tightly controlled stoichiometries, from the formation of molecular assemblies to cellular signaling. Single-molecule localization micro­scopy studies of fluorophore blinking offer a promising route to probe oligomeric states. Here we show that the distribution of the number of blinking events assumes a universal functional form, independent of photophysics, under relatively mild assumptions. The number of photophysical states, the kinetics of interconversion, and the fraction of active fluorophores enter as two or three constants. This essentially model-independent formulation allows us to determine molecule counts from fluorophore blinking statistics. The formulas hold even if the fluorophores have many different yet unresolved dark states, as long as there is only a single fluorescent state, or if there are different yet unresolvable fluorescent states, as long as there is only a single dark state. We demonstrate the practical applicability of this approach by quantifying the oligomerization states of membrane proteins tagged with the mEos2 fluorescent protein. We find that the model parameters, obtained by likelihood maximization, are transferable. With the counting statistics being independent of the detailed photophysics and its parameters being transferable, the method should be robust and broadly applicable to counting colocalized molecules in vivo and in vitro.
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spelling pubmed-52215952017-01-22 Model-independent counting of molecules in single-molecule localization microscopy Hummer, Gerhard Fricke, Franziska Heilemann, Mike Mol Biol Cell Articles Most biomolecular processes rely on tightly controlled stoichiometries, from the formation of molecular assemblies to cellular signaling. Single-molecule localization micro­scopy studies of fluorophore blinking offer a promising route to probe oligomeric states. Here we show that the distribution of the number of blinking events assumes a universal functional form, independent of photophysics, under relatively mild assumptions. The number of photophysical states, the kinetics of interconversion, and the fraction of active fluorophores enter as two or three constants. This essentially model-independent formulation allows us to determine molecule counts from fluorophore blinking statistics. The formulas hold even if the fluorophores have many different yet unresolved dark states, as long as there is only a single fluorescent state, or if there are different yet unresolvable fluorescent states, as long as there is only a single dark state. We demonstrate the practical applicability of this approach by quantifying the oligomerization states of membrane proteins tagged with the mEos2 fluorescent protein. We find that the model parameters, obtained by likelihood maximization, are transferable. With the counting statistics being independent of the detailed photophysics and its parameters being transferable, the method should be robust and broadly applicable to counting colocalized molecules in vivo and in vitro. The American Society for Cell Biology 2016-11-07 /pmc/articles/PMC5221595/ /pubmed/27466316 http://dx.doi.org/10.1091/mbc.E16-07-0525 Text en © 2016 Hummer et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology.
spellingShingle Articles
Hummer, Gerhard
Fricke, Franziska
Heilemann, Mike
Model-independent counting of molecules in single-molecule localization microscopy
title Model-independent counting of molecules in single-molecule localization microscopy
title_full Model-independent counting of molecules in single-molecule localization microscopy
title_fullStr Model-independent counting of molecules in single-molecule localization microscopy
title_full_unstemmed Model-independent counting of molecules in single-molecule localization microscopy
title_short Model-independent counting of molecules in single-molecule localization microscopy
title_sort model-independent counting of molecules in single-molecule localization microscopy
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221595/
https://www.ncbi.nlm.nih.gov/pubmed/27466316
http://dx.doi.org/10.1091/mbc.E16-07-0525
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