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Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model

Although photoactivated localization microscopy offers the potential to interrogate protein interactions in the physiological environment of a cell, uncertainties in the detection efficiency of photoactivatable proteins lead to complications with data interpretation. Here, we present a numerical mod...

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Detalles Bibliográficos
Autores principales: Daniels, Brian, Wunder, Christian, Chen, Vanessa, Renz, Malte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754424/
https://www.ncbi.nlm.nih.gov/pubmed/32558006
http://dx.doi.org/10.1002/cyto.a.24167
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author Daniels, Brian
Wunder, Christian
Chen, Vanessa
Renz, Malte
author_facet Daniels, Brian
Wunder, Christian
Chen, Vanessa
Renz, Malte
author_sort Daniels, Brian
collection PubMed
description Although photoactivated localization microscopy offers the potential to interrogate protein interactions in the physiological environment of a cell, uncertainties in the detection efficiency of photoactivatable proteins lead to complications with data interpretation. Here, we present a numerical model that provides probabilities to detect neighboring molecules dependent on their oligomerization status, density, detection efficiency, and radius, and can be used to assess oligomeric states or detection efficiencies of two molecular species. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
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spelling pubmed-77544242020-12-28 Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model Daniels, Brian Wunder, Christian Chen, Vanessa Renz, Malte Cytometry A Original Articles Although photoactivated localization microscopy offers the potential to interrogate protein interactions in the physiological environment of a cell, uncertainties in the detection efficiency of photoactivatable proteins lead to complications with data interpretation. Here, we present a numerical model that provides probabilities to detect neighboring molecules dependent on their oligomerization status, density, detection efficiency, and radius, and can be used to assess oligomeric states or detection efficiencies of two molecular species. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. John Wiley & Sons, Inc. 2020-06-18 2020-11 /pmc/articles/PMC7754424/ /pubmed/32558006 http://dx.doi.org/10.1002/cyto.a.24167 Text en © 2020 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Daniels, Brian
Wunder, Christian
Chen, Vanessa
Renz, Malte
Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title_full Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title_fullStr Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title_full_unstemmed Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title_short Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model
title_sort dissecting oligomeric states with photoactivated localization microscopy: a numerical model
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754424/
https://www.ncbi.nlm.nih.gov/pubmed/32558006
http://dx.doi.org/10.1002/cyto.a.24167
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