Topological transitions, turbulent-like motion and long-time-tails driven by cell division in biological tissues
Xin Li, Sumit Sinha, T. R. Kirkpatrick, and D. Thirumalai

TL;DR
This paper reveals that cell division in biological tissues induces turbulent-like flow patterns with topological transitions and long-time correlations, resembling inertial turbulence despite low Reynolds numbers.
Contribution
It demonstrates that cell division and apoptosis generate turbulent-like flows and long-lived vortices in tissues, with energy spectra matching Kolmogorov scaling and novel long-time tail behavior.
Findings
Cell division drives directed cell motion for hours.
Flow patterns exhibit Kolmogorov $k^{-5/3}$ energy spectrum.
Long-lived vortices cause $t^{-1/2}$ decay in velocity correlations.
Abstract
The complex spatiotemporal flow patterns in living tissues, driven by active forces, have many of the characteristics associated with inertial turbulence even though the Reynolds number is extremely low. Analyses of experimental data from two-dimensional epithelial monolayers in combination with agent-based simulations show that cell division and apoptosis lead to directed cell motion for hours, resulting in rapid topological transitions in neighboring cells. These transitions in turn generate both long ranged and long lived clockwise and anticlockwise vortices, which gives rise to turbulent-like flows. Both experiments and simulations show that at long wavelengths the wave vector () dependent energy spectrum , coinciding with the Kolmogorov scaling in fully developed inertial turbulence. Using theoretical arguments and simulations, we show that long-lived…
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.
Taxonomy
TopicsParticle Dynamics in Fluid Flows · Ecosystem dynamics and resilience
