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Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration
Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characteri...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938764/ https://www.ncbi.nlm.nih.gov/pubmed/24587399 http://dx.doi.org/10.1371/journal.pone.0090593 |
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author | Lock, John G. Mamaghani, Mehrdad Jafari Shafqat-Abbasi, Hamdah Gong, Xiaowei Tyrcha, Joanna Strömblad, Staffan |
author_facet | Lock, John G. Mamaghani, Mehrdad Jafari Shafqat-Abbasi, Hamdah Gong, Xiaowei Tyrcha, Joanna Strömblad, Staffan |
author_sort | Lock, John G. |
collection | PubMed |
description | Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characterizing this network remains poorly defined. It is also unclear whether such a wiring pattern may be stable and generalizable to different conditions, or plastic and context dependent. Here, synchronous imaging-based quantification of migration system organization, represented by 87 morphological and dynamic macromolecular module features, and migration system behaviour, i.e., migration speed, facilitated Granger causality analysis. We thereby leveraged natural cellular heterogeneity to begin mapping the directionally specific causal wiring between organizational and behavioural features of the cell migration system. This represents an important advance on commonly used correlative analyses that do not resolve causal directionality. We identified organizational features such as adhesion stability and adhesion F-actin content that, as anticipated, causally influenced cell migration speed. Strikingly, we also found that cell speed can exert causal influence over organizational features, including cell shape and adhesion complex location, thus revealing causality in directions contradictory to previous expectations. Importantly, by comparing unperturbed and signalling-modulated cells, we provide proof-of-principle that causal interaction patterns are in fact plastic and context dependent, rather than stable and generalizable. |
format | Online Article Text |
id | pubmed-3938764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39387642014-03-04 Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration Lock, John G. Mamaghani, Mehrdad Jafari Shafqat-Abbasi, Hamdah Gong, Xiaowei Tyrcha, Joanna Strömblad, Staffan PLoS One Research Article Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characterizing this network remains poorly defined. It is also unclear whether such a wiring pattern may be stable and generalizable to different conditions, or plastic and context dependent. Here, synchronous imaging-based quantification of migration system organization, represented by 87 morphological and dynamic macromolecular module features, and migration system behaviour, i.e., migration speed, facilitated Granger causality analysis. We thereby leveraged natural cellular heterogeneity to begin mapping the directionally specific causal wiring between organizational and behavioural features of the cell migration system. This represents an important advance on commonly used correlative analyses that do not resolve causal directionality. We identified organizational features such as adhesion stability and adhesion F-actin content that, as anticipated, causally influenced cell migration speed. Strikingly, we also found that cell speed can exert causal influence over organizational features, including cell shape and adhesion complex location, thus revealing causality in directions contradictory to previous expectations. Importantly, by comparing unperturbed and signalling-modulated cells, we provide proof-of-principle that causal interaction patterns are in fact plastic and context dependent, rather than stable and generalizable. Public Library of Science 2014-02-28 /pmc/articles/PMC3938764/ /pubmed/24587399 http://dx.doi.org/10.1371/journal.pone.0090593 Text en © 2014 Lock et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Lock, John G. Mamaghani, Mehrdad Jafari Shafqat-Abbasi, Hamdah Gong, Xiaowei Tyrcha, Joanna Strömblad, Staffan Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title | Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title_full | Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title_fullStr | Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title_full_unstemmed | Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title_short | Plasticity in the Macromolecular-Scale Causal Networks of Cell Migration |
title_sort | plasticity in the macromolecular-scale causal networks of cell migration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938764/ https://www.ncbi.nlm.nih.gov/pubmed/24587399 http://dx.doi.org/10.1371/journal.pone.0090593 |
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