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Many-body interactions between contracting living cells

This paper demonstrates that mechanical interactions between multiple contracting living cells in an elastic medium exhibit significant many-body effects that deviate from simple pairwise superpositions, with the total interaction energy being either smaller or larger than the sum of two-body interactions depending on whether the cells regulate their positions.

Original authors: Roman Golkov, Yair Shokef

Published 2026-08-27
📖 5 min read🧠 Deep dive

Original authors: Roman Golkov, Yair Shokef

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Inside every living tissue, from the beating heart to the healing skin, individual cells are constantly pushing and pulling against one another. They do not exist in a vacuum; instead, they are embedded in a soft, jelly-like scaffold called the extracellular matrix. This environment is not merely passive filler; it is a mechanical medium that transmits forces. When a cell contracts, it squeezes this surrounding material, creating a ripple of deformation that travels outward. Other cells nearby can feel this squeeze, much like how a person standing on a trampoline feels the movement of someone else jumping nearby. For decades, scientists have understood that cells can sense these mechanical cues and adjust their own behavior in response, a process known as mechanotransduction. The big question, however, has been how this sensing works when many cells are involved at once. Does the total force felt by a group of cells simply add up, like stacking weights on a scale, or does the presence of multiple neighbors create a more complex, collective behavior that cannot be predicted by looking at pairs of cells alone?

A team of researchers set out to answer this by modeling a group of living cells as perfect spheres embedded in an infinite, linearly elastic material. They imagined these cells not as static objects, but as active agents that generate their own internal forces. In their simplest model, they considered "dead" cells that apply a constant, unchanging force regardless of their surroundings. In this scenario, the interactions between cells are straightforward and predictable; the total energy of the system is just the sum of the interactions between every possible pair of neighbors. However, the researchers were more interested in "live" cells. These are cells that can measure the forces and deformations acting on their surface and actively adjust their own internal machinery to maintain a specific shape or position. Just as a person might shift their weight to stay balanced on a moving boat, these cells tweak their contractile forces to counteract the distortions caused by their neighbors, ensuring they remain perfectly spherical despite the chaos around them.

To understand what happens when three or more of these active, shape-regulating cells gather, the researchers performed detailed theoretical calculations. They mapped out the forces and displacements for groups of three and four cells arranged in a straight line, and also for an endless row of cells. They compared the actual energy stored in the system when all these cells interacted simultaneously against a hypothetical scenario where the total energy was calculated by simply adding up the interactions between every pair of cells. If the rules of simple addition held true, the complex group behavior would be nothing more than the sum of its parts. The results, however, revealed a surprising truth: the whole is not equal to the sum of its parts.

The study found that the way cells regulate their behavior fundamentally changes the nature of their collective interaction. When the cells are programmed to keep their position fixed in space while maintaining their shape, the total energy of the group is actually lower than what you would predict by adding up the pairwise interactions. In this case, the presence of a third or fourth neighbor actually reduces the total mechanical effort required by the group. Conversely, when the cells are allowed to move their position to maintain their shape, the total energy of the group is higher than the sum of the pairwise predictions. This means that for cells that move, the collective interaction creates an extra mechanical burden that cannot be explained by looking at pairs alone. The researchers showed that this deviation from simple addition is not a minor detail but a significant effect driven by the cells' active regulation.

The team also discovered that the distance between the cells matters in a specific way. For cells that hold their position, the interaction energy drops off very quickly as they move apart, following a steep decline related to the fourth power of the distance. For cells that are free to move, the energy drops off even faster, following a sixth-power relationship. This rapid decay means that these complex, multi-cell interactions are most significant when cells are packed closely together, which is exactly the condition found in dense biological tissues. The researchers verified that these findings hold true whether they looked at a small group of three cells or simulated an infinite line of them, confirming that the effect is a fundamental property of active matter rather than a fluke of a specific arrangement.

Ultimately, this work demonstrates that the mechanics of living tissues cannot be fully understood by studying cells in isolation or in pairs. The active, regulatory nature of cells introduces a non-linear layer of complexity where the behavior of the group emerges from the collective adjustments of every individual. Even though the surrounding material behaves in a simple, linear way, the cells' ability to sense and respond to their neighbors creates a sophisticated, many-body interaction. This finding suggests that to truly understand how tissues form, heal, or function, scientists must account for these higher-order interactions, where the presence of a third cell changes the rules of engagement for the first two. The study provides a clear mathematical framework for these interactions, showing that the living world operates on principles of collective regulation that go far beyond simple addition.

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