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Cell movement and intercellular signaling occur simultaneously to organize morphogenesis during embryonic development. Cell movement can cause relative positional changes between neighboring cells. When intercellular signals are local such cell mixing may affect signaling, changing the flow of information in developing tissues. Little is known about the effect of cell mixing on intercellular signaling in collective cellular behaviors and methods to quantify its impact are lacking. Here we discuss how to determine the impact of cell mixing on cell signaling drawing an example from vertebrate embryogenesis: the segmentation clock, a collective rhythm of interacting genetic oscillators. We argue that comparing cell mixing and signaling timescales is key to determining the influence of mixing. A signaling timescale can be estimated by combining theoretical models with cell signaling perturbation experiments. A mixing timescale can be obtained by analysis of cell trajectories from live imaging. After comparing cell movement analyses in different experimental settings, we highlight challenges in quantifying cell mixing from embryonic timelapse experiments, especially a reference frame problem due to embryonic motions and shape changes. We propose statistical observables characterizing cell mixing that do not depend on the choice of reference frames. Finally, we consider situations in which both cell mixing and signaling involve multiple timescales, precluding a direct comparison between single characteristic timescales. In such situations, physical models based on observables of cell mixing and signaling can simulate the flow of information in tissues and reveal the impact of observed cell mixing on signaling. © 2017 Japanese Society of Developmental Biologists


Documento: Artículo
Título:Determining the impact of cell mixing on signaling during development
Autor:Uriu, K.; Morelli, L.G.
Filiación:Graduate School of Natural Science and Technology, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA) – CONICET – Partner Institute of the Max Planck Society, Godoy Cruz 2390, Buenos Aires, C1425FQD, Argentina
Department of Systemic Cell Biology, Max Planck Institute for Molecular Physiology, Otto-Hahn-Str. 11, Dortmund, 44227, Germany
Departamento de Física, FCEyN, UBA, Pabellon 1, Ciudad Universitaria, Buenos Aires, 1428, Argentina
Palabras clave:cell movement; coupled oscillators; Delta-Notch signal; mean squared displacement; synchronization; cell culture; cell mixing; cell motion; cell tracking; embryo development; nonhuman; oscillator; quantitative analysis; Review; signal transduction; theoretical study; zebra fish; animal; biological rhythm; embryo development; human; physiology; signal transduction; theoretical model; Animals; Biological Clocks; Embryonic Development; Humans; Models, Theoretical; Signal Transduction
Página de inicio:351
Página de fin:368
Título revista:Development Growth and Differentiation
Título revista abreviado:Dev. Growth Differ.


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---------- APA ----------
Uriu, K. & Morelli, L.G. (2017) . Determining the impact of cell mixing on signaling during development. Development Growth and Differentiation, 59(5), 351-368.
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Uriu, K., Morelli, L.G. "Determining the impact of cell mixing on signaling during development" . Development Growth and Differentiation 59, no. 5 (2017) : 351-368.
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Uriu, K., Morelli, L.G. "Determining the impact of cell mixing on signaling during development" . Development Growth and Differentiation, vol. 59, no. 5, 2017, pp. 351-368.
---------- VANCOUVER ----------
Uriu, K., Morelli, L.G. Determining the impact of cell mixing on signaling during development. Dev. Growth Differ. 2017;59(5):351-368.