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Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking
Filopodia are dynamic, actin-rich structures that transiently form on a variety of cell types. To understand the underlying control mechanisms requires precise monitoring of localization and concentration of individual regulatory and structural proteins as filopodia elongate and subsequently retract...
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/PMC5221593/ https://www.ncbi.nlm.nih.gov/pubmed/27535428 http://dx.doi.org/10.1091/mbc.E16-06-0406 |
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author | Saha, Tanumoy Rathmann, Isabel Viplav, Abhiyan Panzade, Sadhana Begemann, Isabell Rasch, Christiane Klingauf, Jürgen Matis, Maja Galic, Milos |
author_facet | Saha, Tanumoy Rathmann, Isabel Viplav, Abhiyan Panzade, Sadhana Begemann, Isabell Rasch, Christiane Klingauf, Jürgen Matis, Maja Galic, Milos |
author_sort | Saha, Tanumoy |
collection | PubMed |
description | Filopodia are dynamic, actin-rich structures that transiently form on a variety of cell types. To understand the underlying control mechanisms requires precise monitoring of localization and concentration of individual regulatory and structural proteins as filopodia elongate and subsequently retract. Although several methods exist that analyze changes in filopodial shape, a software solution to reliably correlate growth dynamics with spatially resolved protein concentration along the filopodium independent of bending, lateral shift, or tilting is missing. Here we introduce a novel approach based on the convex-hull algorithm for parallel analysis of growth dynamics and relative spatiotemporal protein concentration along flexible filopodial protrusions. Detailed in silico tests using various geometries confirm that our technique accurately tracks growth dynamics and relative protein concentration along the filopodial length for a broad range of signal distributions. To validate our technique in living cells, we measure filopodial dynamics and quantify spatiotemporal localization of filopodia-associated proteins during the filopodial extension–retraction cycle in a variety of cell types in vitro and in vivo. Together these results show that the technique is suitable for simultaneous analysis of growth dynamics and spatiotemporal protein enrichment along filopodia. To allow readily application by other laboratories, we share source code and instructions for software handling. |
format | Online Article Text |
id | pubmed-5221593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-52215932017-01-22 Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking Saha, Tanumoy Rathmann, Isabel Viplav, Abhiyan Panzade, Sadhana Begemann, Isabell Rasch, Christiane Klingauf, Jürgen Matis, Maja Galic, Milos Mol Biol Cell Articles Filopodia are dynamic, actin-rich structures that transiently form on a variety of cell types. To understand the underlying control mechanisms requires precise monitoring of localization and concentration of individual regulatory and structural proteins as filopodia elongate and subsequently retract. Although several methods exist that analyze changes in filopodial shape, a software solution to reliably correlate growth dynamics with spatially resolved protein concentration along the filopodium independent of bending, lateral shift, or tilting is missing. Here we introduce a novel approach based on the convex-hull algorithm for parallel analysis of growth dynamics and relative spatiotemporal protein concentration along flexible filopodial protrusions. Detailed in silico tests using various geometries confirm that our technique accurately tracks growth dynamics and relative protein concentration along the filopodial length for a broad range of signal distributions. To validate our technique in living cells, we measure filopodial dynamics and quantify spatiotemporal localization of filopodia-associated proteins during the filopodial extension–retraction cycle in a variety of cell types in vitro and in vivo. Together these results show that the technique is suitable for simultaneous analysis of growth dynamics and spatiotemporal protein enrichment along filopodia. To allow readily application by other laboratories, we share source code and instructions for software handling. The American Society for Cell Biology 2016-11-07 /pmc/articles/PMC5221593/ /pubmed/27535428 http://dx.doi.org/10.1091/mbc.E16-06-0406 Text en © 2016 Saha 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 Saha, Tanumoy Rathmann, Isabel Viplav, Abhiyan Panzade, Sadhana Begemann, Isabell Rasch, Christiane Klingauf, Jürgen Matis, Maja Galic, Milos Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title | Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title_full | Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title_fullStr | Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title_full_unstemmed | Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title_short | Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
title_sort | automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221593/ https://www.ncbi.nlm.nih.gov/pubmed/27535428 http://dx.doi.org/10.1091/mbc.E16-06-0406 |
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