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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...

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Autores principales: Saha, Tanumoy, Rathmann, Isabel, Viplav, Abhiyan, Panzade, Sadhana, Begemann, Isabell, Rasch, Christiane, Klingauf, Jürgen, Matis, Maja, Galic, Milos
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/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.
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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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