Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer

Amos Zamir, Guanyu Li, Katelyn Chase, Robert Moskovitch, Bo Sun, Assaf Zaritsky

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)711-723.e7
JournalCell Systems
Volume13
Issue number9
DOIs
StatePublished - 21 Sep 2022

Keywords

  • cell-cell communication, live cell imaging, calcium dynamics, multicellular synchronization, mechanosensing, Granger causality

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

Fingerprint

Dive into the research topics of 'Emergence of synchronized multicellular mechanosensing from spatiotemporal integration of heterogeneous single-cell information transfer'. Together they form a unique fingerprint.

Cite this