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A computational modeling of invadopodia protrusion into an extracellular matrix fiber network
Invadopodia are dynamic actin-rich membrane protrusions that have been implicated in cancer cell invasion and metastasis. In addition, invasiveness of cancer cells is strongly correlated with invadopodia formation, which are observed during extravasation and colonization of metastatic cancer cells a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786978/ https://www.ncbi.nlm.nih.gov/pubmed/35075179 http://dx.doi.org/10.1038/s41598-022-05224-9 |
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author | Kim, Min-Cheol Li, Ran Abeyaratne, Rohan Kamm, Roger D. Asada, H. Harry |
author_facet | Kim, Min-Cheol Li, Ran Abeyaratne, Rohan Kamm, Roger D. Asada, H. Harry |
author_sort | Kim, Min-Cheol |
collection | PubMed |
description | Invadopodia are dynamic actin-rich membrane protrusions that have been implicated in cancer cell invasion and metastasis. In addition, invasiveness of cancer cells is strongly correlated with invadopodia formation, which are observed during extravasation and colonization of metastatic cancer cells at secondary sites. However, quantitative understanding of the interaction of invadopodia with extracellular matrix (ECM) is lacking, and how invadopodia protrusion speed is associated with the frequency of protrusion-retraction cycles remains unknown. Here, we present a computational framework for the characterization of invadopodia protrusions which allows two way interactions between intracellular branched actin network and ECM fibers network. We have applied this approach to predicting the invasiveness of cancer cells by computationally knocking out actin-crosslinking molecules, such as α-actinin, filamin and fascin. The resulting simulations reveal distinct invadopodia dynamics with cycles of protrusion and retraction. Specifically, we found that (1) increasing accumulation of MT1-MMP at tips of invadopodia as the duration of protrusive phase is increased, and (2) the movement of nucleus toward the leading edge of the cell becomes unstable as duration of the retractile phase (or myosin turnover time) is longer than 1 min. |
format | Online Article Text |
id | pubmed-8786978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87869782022-01-25 A computational modeling of invadopodia protrusion into an extracellular matrix fiber network Kim, Min-Cheol Li, Ran Abeyaratne, Rohan Kamm, Roger D. Asada, H. Harry Sci Rep Article Invadopodia are dynamic actin-rich membrane protrusions that have been implicated in cancer cell invasion and metastasis. In addition, invasiveness of cancer cells is strongly correlated with invadopodia formation, which are observed during extravasation and colonization of metastatic cancer cells at secondary sites. However, quantitative understanding of the interaction of invadopodia with extracellular matrix (ECM) is lacking, and how invadopodia protrusion speed is associated with the frequency of protrusion-retraction cycles remains unknown. Here, we present a computational framework for the characterization of invadopodia protrusions which allows two way interactions between intracellular branched actin network and ECM fibers network. We have applied this approach to predicting the invasiveness of cancer cells by computationally knocking out actin-crosslinking molecules, such as α-actinin, filamin and fascin. The resulting simulations reveal distinct invadopodia dynamics with cycles of protrusion and retraction. Specifically, we found that (1) increasing accumulation of MT1-MMP at tips of invadopodia as the duration of protrusive phase is increased, and (2) the movement of nucleus toward the leading edge of the cell becomes unstable as duration of the retractile phase (or myosin turnover time) is longer than 1 min. Nature Publishing Group UK 2022-01-24 /pmc/articles/PMC8786978/ /pubmed/35075179 http://dx.doi.org/10.1038/s41598-022-05224-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Min-Cheol Li, Ran Abeyaratne, Rohan Kamm, Roger D. Asada, H. Harry A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title | A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title_full | A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title_fullStr | A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title_full_unstemmed | A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title_short | A computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
title_sort | computational modeling of invadopodia protrusion into an extracellular matrix fiber network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786978/ https://www.ncbi.nlm.nih.gov/pubmed/35075179 http://dx.doi.org/10.1038/s41598-022-05224-9 |
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