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Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data
Advances in fluorescence microscopy are providing increasing evidence that the spatial organization of proteins in cell membranes may facilitate signal initiation and integration for appropriate cellular responses. Our understanding of how changes in spatial organization are linked to function has b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221594/ https://www.ncbi.nlm.nih.gov/pubmed/27582387 http://dx.doi.org/10.1091/mbc.E16-07-0478 |
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author | Pageon, Sophie V. Nicovich, Philip R. Mollazade, Mahdie Tabarin, Thibault Gaus, Katharina |
author_facet | Pageon, Sophie V. Nicovich, Philip R. Mollazade, Mahdie Tabarin, Thibault Gaus, Katharina |
author_sort | Pageon, Sophie V. |
collection | PubMed |
description | Advances in fluorescence microscopy are providing increasing evidence that the spatial organization of proteins in cell membranes may facilitate signal initiation and integration for appropriate cellular responses. Our understanding of how changes in spatial organization are linked to function has been hampered by the inability to directly measure signaling activity or protein association at the level of individual proteins in intact cells. Here we solve this measurement challenge by developing Clus-DoC, an analysis strategy that quantifies both the spatial distribution of a protein and its colocalization status. We apply this approach to the triggering of the T-cell receptor during T-cell activation, as well as to the functionality of focal adhesions in fibroblasts, thereby demonstrating an experimental and analytical workflow that can be used to quantify signaling activity and protein colocalization at the level of individual proteins. |
format | Online Article Text |
id | pubmed-5221594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-52215942017-01-22 Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data Pageon, Sophie V. Nicovich, Philip R. Mollazade, Mahdie Tabarin, Thibault Gaus, Katharina Mol Biol Cell Articles Advances in fluorescence microscopy are providing increasing evidence that the spatial organization of proteins in cell membranes may facilitate signal initiation and integration for appropriate cellular responses. Our understanding of how changes in spatial organization are linked to function has been hampered by the inability to directly measure signaling activity or protein association at the level of individual proteins in intact cells. Here we solve this measurement challenge by developing Clus-DoC, an analysis strategy that quantifies both the spatial distribution of a protein and its colocalization status. We apply this approach to the triggering of the T-cell receptor during T-cell activation, as well as to the functionality of focal adhesions in fibroblasts, thereby demonstrating an experimental and analytical workflow that can be used to quantify signaling activity and protein colocalization at the level of individual proteins. The American Society for Cell Biology 2016-11-07 /pmc/articles/PMC5221594/ /pubmed/27582387 http://dx.doi.org/10.1091/mbc.E16-07-0478 Text en © 2016 Pageon 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 Pageon, Sophie V. Nicovich, Philip R. Mollazade, Mahdie Tabarin, Thibault Gaus, Katharina Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title | Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title_full | Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title_fullStr | Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title_full_unstemmed | Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title_short | Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
title_sort | clus-doc: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221594/ https://www.ncbi.nlm.nih.gov/pubmed/27582387 http://dx.doi.org/10.1091/mbc.E16-07-0478 |
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