ArticleScience advances2020
A statistical inference approach to reconstruct intercellular interactions in cell migration experiments.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Quantifying heterogeneity to drug response in cancer-stroma kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Retinal Progenitor Cells Exhibit Cadherin-Dependent Chemotaxis across Transplantable Extracellular Matrix of In Vitro Developmental and Adult Models.Journal of tissue engineering and regenerative medicine · 2023Article
- Fully Automated Computational Approach for Precisely Measuring Organelle Acidification with Optical pH Sensors.ACS applied materials & interfaces · 2022Article
- Pannexin Channel Regulation of Cell Migration: Focus on Immune Cells.Frontiers in immunology · 2021Review
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Authors and funding
6 authors.
Funding
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Abstract
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.
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