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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.
Afiliação
  • Lock JG; Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
  • Mamaghani MJ; Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden ; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.
  • Shafqat-Abbasi H; Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
  • Gong X; Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
  • Tyrcha J; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.
  • Strömblad S; Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
PLoS One ; 9(2): e90593, 2014.
Article em En | MEDLINE | ID: mdl-24587399
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Movimento Celular / Substâncias Macromoleculares / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Movimento Celular / Substâncias Macromoleculares / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Suécia