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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...

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Autores principales: Lock, John G., Mamaghani, Mehrdad Jafari, Shafqat-Abbasi, Hamdah, Gong, Xiaowei, Tyrcha, Joanna, Strömblad, Staffan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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