Biology subjects

Bonfanti, A.

Publications and source records attributed to Bonfanti, A..

4 recordsLinked to original sources

bioRxiv2025

Emergent Epithelial Resilience under Cyclic Loading

Epithelial tissues are often exposed to cyclic deformations in their physiological environment. The mechanical integrity of epithelial tissues relies on intercellular adhesion proteins which link neighbouring cells and transmit forces across the cellular network. The stability of the intercellular adhesive bonds is critical. Under sustained stress, bond failure leads to cumulative damage that progressively weakens the material and ultimately causes failure at the tissue scale. Although the collective behaviour of adhesion bonds under static loading has been characterised to some extent, their response to dynamic loading remains largely unknown, despite its physiological importance. Here we combine quantitative experiments on MDCK monolayers with analytical and stochastic modeling of slip-bond intercellular linkers to investigate tissue resilience under cyclic loading. We find that cyclic loading significantly prolongs tissue lifetime and deformation before failure compared to constant tension, due to intervals of low stress facilitating bond repair. Our model identifies intrinsic rupture and repair timescales governing adhesion stability, revealing three regimes of tissue behavior: rupture, slow damage accumulation and stable equilibrium. Normalizing loading parameters by the intrinsic molecular timescales collapses experimental and simulated data into universal stability maps. These findings demonstrate that epithelial resilience emerges from stochastic adhesion bond dynamics, providing a predictive framework linking molecular adhesion turnover to macroscopic tissue mechanics under physiological cyclic forces. SIGNIFICANCEEpithelial tissues, the bodys primary mechanical barriers, experience continuous mechanical stress from physiological movements such as breathing or peristalsis. Through experiments and modeling, we show that a tissues ability to resist and repair damage under cyclic loading comes from the natural binding and unbinding of the molecules that link neighboring cells. We identify fundamental timescales governing rupture and recovery in cell-cell junctions, showing that tissue stability can be universally predicted from molecular adhesion kinetics. This work establishes a quantitative framework connecting microscopic adhesion kinetics to macroscopic tissue mechanics. It provides a tool for studying resilience in diverse biophysical soft matter systems and for understanding how living materials maintain integrity under fluctuating forces.

biophysics↗

bioRxiv2023

Fracture in Living Cell Monolayers

The ability of tissues to sustain mechanical stress and avoid rupture is a fundamental pillar of their function. Rupture in response to physiological levels of stress can be undesired, for example resulting from disease or genetic mutations, or be an integral part of developmental processes, such as during blastocoel formation in mouse or leg eversion in flies. Despite its importance, we know very little about rupture in cellularised tissues because it is a multi-scale phenomenon that necessitates comprehension of the interplay between mechanical forces and processes at the molecular and cellular scales. Using a combination of mechanical measurements, live imaging and computational modelling, we characterise rupture in epithelial monolayers. We show that, despite consisting of only a single layer of cells, monolayers can withstand surprisingly large deformations, often accommodating several-fold increases in their length before rupture. At large deformation, epithelia increase their stiffness multiple-fold in a process controlled by a supracellular network of keratin filaments. Perturbing keratin organisation fragilised monolayers and prevented strain stiffening. Using computational approaches, we show that, although the kinetics of adhesive bond rupture ultimately control tissue strength, tissue rheology and the history of deformation prior to failure set the strain and stress that the tissue reaches at the onset of fracture. Our data paint a picture of epithelia as versatile materials that combine resistance to shocks with deformability when subjected to low strain rates.

biophysics↗

bioRxiv2022

Tension at intercellular junctions is necessary for accurate orientation of cell division in the epithelium plane

The direction in which a cell divides is set by the orientation of its mitotic spindle and is important for determining cell fate, controlling tissue shape and maintaining tissue architecture. Division perpendicular to the plane of the substrate can promote tissue stratification during development or wound healing, but also metastasis when orientation is aberrant. Much is known about the molecular mechanisms involved in setting the spindle orientation. However, less is known about the contribution of mechanical factors, such as tissue tension, in ensuring spindle orientation in the plane of the epithelium, despite epithelia being continuously subjected to mechanical stresses. Here, we used suspended epithelial monolayers devoid of extracellular matrix and subjected to varying levels of tissue tension to study the orientation of division relative to the tissue plane. We found that decreasing tissue tension by compressing the monolayers or by inhibiting myosin contractility leads to a higher frequency of out-of-plane divisions. Reciprocally, accurate in-plane division can be restored by increasing tissue tension by increasing cell contractility or by tissue stretching. By considering the full three-dimensional geometry of the epithelium, we show that spindles are sensitive to tissue tension, independently of cell shape, through its impact on the tension at subcellular surfaces. Overall, our data suggest that accurate spindle orientation in the plane of the epithelium necessitates the presence of a sufficiently large tension at intercellular junctions. Significance statementIn growing epithelia, divisions are typically oriented in the plane of the tissue to drive expansion. In some organs, divisions are then re-oriented so that they occur perpendicular to the epithelium plane to drive tissue stratification and cell differentiation. When uncontrolled, this switch in orientation can lead to defects in tissue organisation and, in cancer, likely contribute to metastasis. While much is known about the molecular mechanisms controlling mitotic spindle orientation, less is known about the role of mechanical factors. Here we use mechanical and chemical perturbations to show that mechanics plays a role in controlling the plane of division. Overall, our data suggest that the orientation of spindles in the epithelium plane requires sufficient tension across intercellular junctions.

biophysics↗

bioRxiv2019

A unified rheological model for cells and cellularised materials

The mechanical response of single cells and tissues exhibits a broad distribution of time scales that gives often rise to a distinctive power-law regime. Such complex behaviour cannot be easily captured by traditional rheological approaches, making material characterisation and predictive modelling very challenging. Here, we present a novel model combining conventional viscoelastic elements with fractional calculus that successfully captures the macroscopic relaxation response of epithelial monolayers. The parameters extracted from the fitting of the relaxation modulus allow prediction of the response of the same material to slow stretch and creep, indicating that the model captured intrinsic material properties. Two characteristic times can be derived from the model parameters, and together these explain different qualitative behaviours observed in creep after genetic and chemical treatments. We compared the response of tissues with the behaviour of single cells as well as intra and extra-cellular components, and linked the power-law behaviour of the epithelium to the dynamics of the cell cortex. Such a unified model for the mechanical response of biological materials provides a novel and robust mathematical approach for diagnostic methods based on mechanical traits as well as more accurate computational models of tissues mechanics.

biophysics↗