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Distinct predictive performance of Rac1 and Cdc42 in cell migration
We propose a new computation-based approach for elucidating how signaling molecules are decoded in cell migration. In this approach, we performed FRET time-lapse imaging of Rac1 and Cdc42, members of Rho GTPases which are responsible for cell motility, and quantitatively identified the response func...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669460/ https://www.ncbi.nlm.nih.gov/pubmed/26634649 http://dx.doi.org/10.1038/srep17527 |
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author | Yamao, Masataka Naoki, Honda Kunida, Katsuyuki Aoki, Kazuhiro Matsuda, Michiyuki Ishii, Shin |
author_facet | Yamao, Masataka Naoki, Honda Kunida, Katsuyuki Aoki, Kazuhiro Matsuda, Michiyuki Ishii, Shin |
author_sort | Yamao, Masataka |
collection | PubMed |
description | We propose a new computation-based approach for elucidating how signaling molecules are decoded in cell migration. In this approach, we performed FRET time-lapse imaging of Rac1 and Cdc42, members of Rho GTPases which are responsible for cell motility, and quantitatively identified the response functions that describe the conversion from the molecular activities to the morphological changes. Based on the identified response functions, we clarified the profiles of how the morphology spatiotemporally changes in response to local and transient activation of Rac1 and Cdc42, and found that Rac1 and Cdc42 activation triggers laterally propagating membrane protrusion. The response functions were also endowed with property of differentiator, which is beneficial for maintaining sensitivity under adaptation to the mean level of input. Using the response function, we could predict the morphological change from molecular activity, and its predictive performance provides a new quantitative measure of how much the Rho GTPases participate in the cell migration. Interestingly, we discovered distinct predictive performance of Rac1 and Cdc42 depending on the migration modes, indicating that Rac1 and Cdc42 contribute to persistent and random migration, respectively. Thus, our proposed predictive approach enabled us to uncover the hidden information processing rules of Rho GTPases in the cell migration. |
format | Online Article Text |
id | pubmed-4669460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46694602015-12-09 Distinct predictive performance of Rac1 and Cdc42 in cell migration Yamao, Masataka Naoki, Honda Kunida, Katsuyuki Aoki, Kazuhiro Matsuda, Michiyuki Ishii, Shin Sci Rep Article We propose a new computation-based approach for elucidating how signaling molecules are decoded in cell migration. In this approach, we performed FRET time-lapse imaging of Rac1 and Cdc42, members of Rho GTPases which are responsible for cell motility, and quantitatively identified the response functions that describe the conversion from the molecular activities to the morphological changes. Based on the identified response functions, we clarified the profiles of how the morphology spatiotemporally changes in response to local and transient activation of Rac1 and Cdc42, and found that Rac1 and Cdc42 activation triggers laterally propagating membrane protrusion. The response functions were also endowed with property of differentiator, which is beneficial for maintaining sensitivity under adaptation to the mean level of input. Using the response function, we could predict the morphological change from molecular activity, and its predictive performance provides a new quantitative measure of how much the Rho GTPases participate in the cell migration. Interestingly, we discovered distinct predictive performance of Rac1 and Cdc42 depending on the migration modes, indicating that Rac1 and Cdc42 contribute to persistent and random migration, respectively. Thus, our proposed predictive approach enabled us to uncover the hidden information processing rules of Rho GTPases in the cell migration. Nature Publishing Group 2015-12-04 /pmc/articles/PMC4669460/ /pubmed/26634649 http://dx.doi.org/10.1038/srep17527 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Yamao, Masataka Naoki, Honda Kunida, Katsuyuki Aoki, Kazuhiro Matsuda, Michiyuki Ishii, Shin Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title | Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title_full | Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title_fullStr | Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title_full_unstemmed | Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title_short | Distinct predictive performance of Rac1 and Cdc42 in cell migration |
title_sort | distinct predictive performance of rac1 and cdc42 in cell migration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669460/ https://www.ncbi.nlm.nih.gov/pubmed/26634649 http://dx.doi.org/10.1038/srep17527 |
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