Cell-cell communication enhances the capacity of cell ensembles to sense shallow gradients during morphogenesis
David Ellison, Andrew Mugler, Matthew Brennan, Sung Hoon Lee, Robert, Huebner, Eliah Shamir, Laura A. Woo, Joseph Kim, Patrick Amar, Ilya Nemenman,, Andrew J. Ewald, Andre Levchenko

TL;DR
This study demonstrates that cell-cell communication enhances the ability of cell groups to detect shallow chemical gradients during tissue development, but this advantage is limited by signaling noise, with implications for understanding multicellular sensing.
Contribution
It provides experimental evidence and a mathematical framework showing how cell-cell communication improves gradient sensing, highlighting the roles of gap junctions and calcium signaling.
Findings
Multicellular sensing detects shallow EGF gradients undetectable by single cells.
Communication noise limits the sensitivity of collective gradient sensing.
Intercellular gap junctions and calcium release mediate collective sensing.
Abstract
Collective cell responses to exogenous cues depend on cell-cell interactions. In principle, these can result in enhanced sensitivity to weak and noisy stimuli. However, this has not yet been shown experimentally, and, little is known about how multicellular signal processing modulates single cell sensitivity to extracellular signaling inputs, including those guiding complex changes in the tissue form and function. Here we explored if cell-cell communication can enhance the ability of cell ensembles to sense and respond to weak gradients of chemotactic cues. Using a combination of experiments with mammary epithelial cells and mathematical modeling, we find that multicellular sensing enables detection of and response to shallow Epidermal Growth Factor (EGF) gradients that are undetectable by single cells. However, the advantage of this type of gradient sensing is limited by the noisiness…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
