A statistical inference approach to reconstruct intercellular interactions in cell migration experiments
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A statistical inference approach to reconstruct intercellular interactions in cell migration experiments. / Agliari, Elena; Sáez, Pablo J; Barra, Adriano; Piel, Matthieu; Vargas, Pablo; Castellana, Michele.
in: SCI ADV, Jahrgang 6, Nr. 11, eaay2103, 03.2020.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - A statistical inference approach to reconstruct intercellular interactions in cell migration experiments
AU - Agliari, Elena
AU - Sáez, Pablo J
AU - Barra, Adriano
AU - Piel, Matthieu
AU - Vargas, Pablo
AU - Castellana, Michele
N1 - Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
PY - 2020/3
Y1 - 2020/3
N2 - Migration of cells can be characterized by two prototypical types of motion: individual and collective migration. We propose a statistical inference approach designed to detect the presence of cell-cell interactions that give rise to collective behaviors in cell motility experiments. This inference method has been first successfully tested on synthetic motional data and then applied to two experiments. In the first experiment, cells migrate in a wound-healing model: When applied to this experiment, the inference method predicts the existence of cell-cell interactions, correctly mirroring the strong intercellular contacts that are present in the experiment. In the second experiment, dendritic cells migrate in a chemokine gradient. Our inference analysis does not provide evidence for interactions, indicating that cells migrate by sensing independently the chemokine source. According to this prediction, we speculate that mature dendritic cells disregard intercellular signals that could otherwise delay their arrival to lymph vessels.
AB - Migration of cells can be characterized by two prototypical types of motion: individual and collective migration. We propose a statistical inference approach designed to detect the presence of cell-cell interactions that give rise to collective behaviors in cell motility experiments. This inference method has been first successfully tested on synthetic motional data and then applied to two experiments. In the first experiment, cells migrate in a wound-healing model: When applied to this experiment, the inference method predicts the existence of cell-cell interactions, correctly mirroring the strong intercellular contacts that are present in the experiment. In the second experiment, dendritic cells migrate in a chemokine gradient. Our inference analysis does not provide evidence for interactions, indicating that cells migrate by sensing independently the chemokine source. According to this prediction, we speculate that mature dendritic cells disregard intercellular signals that could otherwise delay their arrival to lymph vessels.
KW - Animals
KW - Cell Communication
KW - Cell Movement
KW - Dendritic Cells/metabolism
KW - HeLa Cells
KW - Humans
KW - Mice
KW - Models, Biological
KW - Wound Healing
U2 - 10.1126/sciadv.aay2103
DO - 10.1126/sciadv.aay2103
M3 - SCORING: Journal article
C2 - 32195344
VL - 6
JO - SCI ADV
JF - SCI ADV
SN - 2375-2548
IS - 11
M1 - eaay2103
ER -