Robust patterns in the stochastic organization of filopodia

<p>Abstract</p> <p>Background</p> <p>Filopodia are actin-based cellular projections that have a critical role in initiating and sustaining directional migration in vertebrate cells. Filopodia are highly dynamic structures that show a rich diversity in appearance and beh...

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Main Authors: Perkins Theodore J, Morrow Anne A, Husainy Asma N, Lee Jonathan M
Format: Article
Language:English
Published: BMC 2010-11-01
Series:BMC Cell Biology
Online Access:http://www.biomedcentral.com/1471-2121/11/86
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spelling doaj-b19f2e2dbbde4daa98780250ad51fb7f2020-11-24T20:57:17ZengBMCBMC Cell Biology1471-21212010-11-011118610.1186/1471-2121-11-86Robust patterns in the stochastic organization of filopodiaPerkins Theodore JMorrow Anne AHusainy Asma NLee Jonathan M<p>Abstract</p> <p>Background</p> <p>Filopodia are actin-based cellular projections that have a critical role in initiating and sustaining directional migration in vertebrate cells. Filopodia are highly dynamic structures that show a rich diversity in appearance and behavior. While there are several mathematical models of filopodia initiation and growth, testing the capacity of these theoretical models in predicting empirical behavior has been hampered by a surprising shortage of quantitative data related to filopodia. Neither is it clear how quantitatively robust the cellular filopodial network is and how perturbations alter it.</p> <p>Results</p> <p>We have measured the length and interfilopodial separation distances of several thousand filopodia in the rodent cell line Rat2 and measured these parameters in response to genetic, chemical and physical perturbation. Our work shows that length and separation distance have a lognormal pattern distribution over their entire detection range (0.4 μm to 50 μm).</p> <p>Conclusions</p> <p>We find that the lognormal distribution of length and separation is robust and highly resistant to perturbation. We also find that length and separation are independent variables. Most importantly, our empirical data is not entirely in agreement with predictions made based on existing theoretical models and that filopodial size and separation are an order of magnitude larger than what existing models suggest.</p> http://www.biomedcentral.com/1471-2121/11/86
collection DOAJ
language English
format Article
sources DOAJ
author Perkins Theodore J
Morrow Anne A
Husainy Asma N
Lee Jonathan M
spellingShingle Perkins Theodore J
Morrow Anne A
Husainy Asma N
Lee Jonathan M
Robust patterns in the stochastic organization of filopodia
BMC Cell Biology
author_facet Perkins Theodore J
Morrow Anne A
Husainy Asma N
Lee Jonathan M
author_sort Perkins Theodore J
title Robust patterns in the stochastic organization of filopodia
title_short Robust patterns in the stochastic organization of filopodia
title_full Robust patterns in the stochastic organization of filopodia
title_fullStr Robust patterns in the stochastic organization of filopodia
title_full_unstemmed Robust patterns in the stochastic organization of filopodia
title_sort robust patterns in the stochastic organization of filopodia
publisher BMC
series BMC Cell Biology
issn 1471-2121
publishDate 2010-11-01
description <p>Abstract</p> <p>Background</p> <p>Filopodia are actin-based cellular projections that have a critical role in initiating and sustaining directional migration in vertebrate cells. Filopodia are highly dynamic structures that show a rich diversity in appearance and behavior. While there are several mathematical models of filopodia initiation and growth, testing the capacity of these theoretical models in predicting empirical behavior has been hampered by a surprising shortage of quantitative data related to filopodia. Neither is it clear how quantitatively robust the cellular filopodial network is and how perturbations alter it.</p> <p>Results</p> <p>We have measured the length and interfilopodial separation distances of several thousand filopodia in the rodent cell line Rat2 and measured these parameters in response to genetic, chemical and physical perturbation. Our work shows that length and separation distance have a lognormal pattern distribution over their entire detection range (0.4 μm to 50 μm).</p> <p>Conclusions</p> <p>We find that the lognormal distribution of length and separation is robust and highly resistant to perturbation. We also find that length and separation are independent variables. Most importantly, our empirical data is not entirely in agreement with predictions made based on existing theoretical models and that filopodial size and separation are an order of magnitude larger than what existing models suggest.</p>
url http://www.biomedcentral.com/1471-2121/11/86
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