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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7754424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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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