Self-generated gradients guide cells in their long-distance expeditions

TL;DR

This paper develops a theoretical framework to understand how self-generated gradients guide collective cell migration over long distances, revealing superdiffusive behavior and density correlations in chemotactic cells.

Contribution

The paper introduces a quantitative theory for self-generated chemotaxis, elucidating how cells steer long-distance migration and interact through dynamic gradients.

Findings

Cells exhibit super-diffusive motion in external gradients.

Breakdown of attractants influences density fluctuations.

Self-generated gradients enable effective long-distance travel.

Abstract

Self-generated gradients (SGG) provide robust steering cues that guide cells in their long-distance expeditions during embryonic development, immune response, and cancer metastasis. Cells generate their own local, dynamic gradients by breaking down the broadly distributed attractants in the environment, which leads to propulsion. How cells sense the environment and the interplay of self-generated force and long-range range chemotactic interactions determines the collective behavior of cells in vivo is largely unknown. We develop a theory to provide quantitative insight into how self-generated chemotaxis (SGC) steers the collective migration of cells during their long-distance journeys. In an externally imposed gradient, the cells exhibit super-diffusive motion at time less than persistent time ($\tau_p$) and exhibit diffusive motion at time $t>\tau_p$. On the other hand breakdown of chemo-attractants influences the density fluctuations and long-range correlations emerge in the density of chemotactic cells. The cells exhibit superdiffusive motion at a longtime limit. The SGG provides an effective mechanism for long-distance travel compared to an externally imposed gradient. Our theory provides a general framework for studying the non-equilibrium dynamics of collections of interacting particles.