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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-11-01
|
| Series: | BMC Cell Biology |
| Online Access: | http://www.biomedcentral.com/1471-2121/11/86 |
| _version_ | 1819086112197443584 |
|---|---|
| author | Perkins Theodore J Morrow Anne A Husainy Asma N Lee Jonathan M |
| author_facet | Perkins Theodore J Morrow Anne A Husainy Asma N Lee Jonathan M |
| author_sort | Perkins Theodore J |
| collection | DOAJ |
| 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> |
| first_indexed | 2024-12-21T21:15:04Z |
| format | Article |
| id | doaj.art-b19f2e2dbbde4daa98780250ad51fb7f |
| institution | Directory Open Access Journal |
| issn | 1471-2121 |
| language | English |
| last_indexed | 2024-12-21T21:15:04Z |
| publishDate | 2010-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cell Biology |
| spelling | doaj.art-b19f2e2dbbde4daa98780250ad51fb7f2022-12-21T18:50:01ZengBMCBMC 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 |
| spellingShingle | Perkins Theodore J Morrow Anne A Husainy Asma N Lee Jonathan M Robust patterns in the stochastic organization of filopodia BMC Cell Biology |
| title | 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_short | Robust patterns in the stochastic organization of filopodia |
| title_sort | robust patterns in the stochastic organization of filopodia |
| url | http://www.biomedcentral.com/1471-2121/11/86 |
| work_keys_str_mv | AT perkinstheodorej robustpatternsinthestochasticorganizationoffilopodia AT morrowannea robustpatternsinthestochasticorganizationoffilopodia AT husainyasman robustpatternsinthestochasticorganizationoffilopodia AT leejonathanm robustpatternsinthestochasticorganizationoffilopodia |