ArticleCell systems2022
Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer.
Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Skin capillary endothelial cells form a network of spatiotemporally conserved CaProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Skin capillary endothelial cells form a network of spatiotemporally conserved CabioRxiv : the preprint server for biology · 2026Article
- Keeping up with the neighbours: local synchronisation of cell fate decisions during development.EMBO reports · 2026Review
- Article
- Formation of recurring transient CaProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Immune cells and inflammatory mediators cause endothelial dysfunction in a vascular microphysiological system.Lab on a chip · 2024Article
- Cell state transitions: catch them if you can.Development (Cambridge, England) · 2023Article
- Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.Physical biology · 2021Review
- Article
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Authors and funding
6 authors.
Funding
Abstract
Multicellular synchronization is a ubiquitous phenomenon in living systems. However, how noisy and heterogeneous behaviors of individual cells are integrated across a population toward multicellular synchronization is unclear. Here, we study the process of multicellular calcium synchronization of the endothelial cell monolayer in response to mechanical stimuli. We applied information theory to quantify the asymmetric information transfer between pairs of cells and defined quantitative measures to how single cells receive or transmit information within a multicellular network. Our analysis revealed that multicellular synchronization was established by gradual enhancement of information spread from the single cell to the multicellular scale. Synchronization was associated with heterogeneity in the cells' communication properties, reinforcement of the cells' state, and information flow. Altogether, we suggest a phenomenological model where cells gradually learn their local environment, adjust, and reinforce their internal state to stabilize the multicellular network architecture to support information flow from local to global scales toward multicellular synchronization.
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Registered trials
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