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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...

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Autores principales: Yamao, Masataka, Naoki, Honda, Kunida, Katsuyuki, Aoki, Kazuhiro, Matsuda, Michiyuki, Ishii, Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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.
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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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