Biology subjects

Van Oosterwyck, H.

Publications and source records attributed to Van Oosterwyck, H..

18 recordsLinked to original sources

bioRxiv2026

Endothelial gain of PIEZO/TRPV mechanosensors drives cavernous malformations

Vascular disease often begins as a failure to read mechanical force. Cerebral cavernous malformations (CCMs) are leaky, brain-invading capillary clusters that cause stroke and seizures and arise from endothelial loss of the CCM complex. They form exclusively in low-flow vessels but existing models cannot explain this selectivity. We previously established that CCM-mutant endothelium inverts its adhesive balance, weakening cell-cell junctions while building matrix-degrading adhesions. The mechanosensors imposing this switch are unknown. Here we show that the mechanosensitive Ca2+ channels PIEZO1, TRPV2 and TRPV4 are overexpressed in the endothelium of CCM lesions in a 42-patient cohort, and that lesion volume scales with their expression level. Mechanistically, PIEZO1 partners with TRPV4 to destabilise cell-cell junctions and with TRPV2 to reinforce cell-matrix adhesions; silencing TRPV4 restores junctional integrity and abolishes KLF4 induction, whereas silencing TRPV2 or inhibition with tranilast abolishes matrix degradation and invasion. In vivo, trpv4 knockdown or inhibition with GSK2798745 restores atrioventricular canal morphogenesis in ccm2-mutant zebrafish. Gain of mechanosensory channel function is thus a causal step in CCM pathogenesis, upstream of the KLF program. Combined therapeutic targeting of TRPV2 and TRPV4 with inhibitors validated in humans offers a route to therapy.

cell biology↗

bioRxiv2026

Matrix stiffness shifts the endothelial shear stress set point for angiogenic activation

AimsEndothelial cells (ECs) are simultaneously exposed to wall shear stress (SS) from blood flow and substrate stiffness (SFN) from the extracellular matrix, yet how these cues are integrated to shape endothelial behavior remains incompletely understood. We applied an unbiased transcriptomics strategy to define how SS and substrate SFN jointly encode endothelial state transitions and determine angiogenic activation thresholds. Methods and ResultsWe generated a factorial RNA-Seq dataset of human ECs exposed to 14 combinations of SS (0-40 dynes/cm{superscript 2}) and SFN (1-100 kPa). DESeq2 with likelihood ratio testing identified genes whose expression was significantly associated with SS, SFN, or their interaction. SS was the dominant driver of global transcriptional variation and elicited non-linear transcriptional responses, whereas substrate SFN had a smaller direct effect but significantly modulated the endothelial response to flow. Interaction analyses identified gene programs associated with vascular remodeling, including angiogenesis and migration. Pathway-level analyses revealed that substrate SFN shifts the SS threshold at which angiogenic transcriptional programs become activated, indicating that SFN tunes the endothelial angiogenic set point rather than scaling the response magnitude. Moreover, activated states differed qualitatively across mechanical contexts, reflecting context-dependent reweighting of shared inflammatory, stress, and adaptive/remodeling programs. Finally, siRNA-mediated YAP1 knockdown confirmed its contribution to SS-SFN-dependent gene regulation. ConclusionThis study provides a systems-level experimental and bioinformatic framework for disentangling multifactorial mechanotransduction in ECs. Although SS predominates in shaping endothelial transcriptomes, substrate SFN critically modulates how ECs interpret flow by shifting the threshold for angiogenic transcriptional activation and reweighting downstream pathways. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/740002v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@b615d7org.highwire.dtl.DTLVardef@54121dorg.highwire.dtl.DTLVardef@1715e4corg.highwire.dtl.DTLVardef@1e6018e_HPS_FORMAT_FIGEXP M_FIG C_FIG Translational PerspectiveBy systematically combining substrate stiffness and shear stress across physiological and pathological ranges, we provide a reference dataset for vascular mechanobiology. These data enable interpretation of endothelial responses across clinically relevant mechanical environments, including stiffness ranges in different organs (1- brain; 10-muscle or fibrotic liver; 100-aortic valves; kPa), shear stress ranges in different vascular beds (5-veins, 25-capillaries, 40-valves; dynes/cm2), and disease-associated changes such as matrix stiffening. Incorporating interactions between mechanical cues may improve the design of in vitro vascular models and enhance computational prediction of vascular remodeling.

cell biology↗

bioRxiv2026

Microtubule detyrosination enhances matrix remodeling and force transmission during endothelial sprouting

Angiogenic sprouting relies on the coordinated regulation of endothelial migration, force generation, and extracellular matrix (ECM) remodeling. While microtubules are known to regulate cell polarity and migration, how tubulin post-translational modifications reshape microtubule behavior and impact matrix-dependent migration programs remain unclear. Here, using sprouting angiogenesis as an integrative physiological context, we combine live-cell imaging, three-dimensional (3D) sprouting and microfluidic invasion assays, and 3D traction force microscopy to dissect the role of tubulin detyrosination and acetylation. We show that microtubule detyrosination, in contrast to acetylation, promotes directional persistence, sprout elongation and collective endothelial invasion. Detyrosinated microtubules remain dynamic and display more persistent growth, supporting sustained directional migration. Strikingly, microtubule detyrosination also enhances ECM remodeling, leading to increased matrix degradation and augmented traction force transmission. Functional inhibition experiments reveal that matrix degradation, rather than actomyosin contractility, is required for both elevated forces and enhanced sprouting. Together, these findings identify microtubule detyrosination as a key regulator linking cytoskeletal dynamics, cell migration and matrix remodeling during angiogenesis.

cell biology↗

bioRxiv2025

Data-driven traction force microscopy in 3D collagen hydrogels

Quantitative measurements of cell-generated forces in fibrillar hydrogels have traditionally modeled the extracellular matrix as a continuum. Here we present a data-driven 3D traction force microscopy (DD-TFM) approach that reconstructs discrete collagen fiber networks from second-harmonic generation images and assigns fiber mechanics calibrated by shear rheology. In silico tests confirm the robustness of an inverse force-recovery method, and application to cells in collagen reveals pulling patterns and fiber-level stress distributions.

biophysics↗

bioRxiv2025

Adaptation of endothelial cells to microenvironment topographical cues through lysyl oxidase like-2-mediated basement membrane scaffolding

Basement membrane (BM) provides structural support and signaling platform for blood vessels. While its major structural components are required for vascular morphogenesis, integrating BM regulators, like the lysyl oxidase LOXL2, and BM assembly in cell response to microenvironement cues remain poorly understood. Here we study the early deposition and supramolecular assembly of BM components using correlative atomic force and fluorescence microscopy. The fibrillar deposition of fibronectin is gradually remodeled and associates with the collagen IV meshwork as it organizes into BM. We demonstrate that LOXL2 is deposited with both proteins and participates in their remodeling. Alteration of BM scaffolding by LOXL2-depletion affects focal adhesion maturation and cytoskeleton remodeling. This altered BM organization maintains stress fibers, affects the distribution and activation of mechanosensors and alters cell barrier properties. Furthermore, using 3D micro-printed substrates, we demonstrate that BM assembly regulates endothelial cell response to topographical constraint. We therefore propose a mechanism directly linking the scaffolding of BM components and adaptation to the topographical signals from the microenvironment.

cell biology↗

bioRxiv2025

Osteoarthritis leads to more contractile and protrusive chondrocytes when cultured in 3D degradable hydrogels

Osteoarthritis (OA) induces phenotypic changes in chondrocytes as well as alterations in matrix composition and mechanics. Yet, its impact on active cell-generated forces, a key indicator of cell-matrix interaction, remains poorly characterized. In this study, we systematically compared the force generation capacity and associated proteins of interest between human OA and non-OA articular chondrocytes and how they are affected by cell culture dimensionality (2D versus 3D) and matrix degradability. Using traction force microscopy (TFM) combined with high-resolution immunostainings we show that OA alters the expression and organization of proteins involved in force exertion and transmission across both 2D and 3D cultures, but only in a 3D degradable hydrogel environment do these changes translate into higher cell-generated contractile forces This increased force generation correlates with elevated protrusive activity, higher actomyosin content and engagement, as well as altered localization of adhesion and matrix proteins, all of which could contribute to increased cell-matrix interaction in OA chondrocytes. In contrast, OA chondrocytes display no increase in cell tractions when cultured on 2D hydrogel substrates. These findings demonstrate that the detection and interpretation of OA-related alterations in chondrocyte mechanobiology are strongly dependent on the dimensionality and degradable properties of the culture system. Our results highlight the critical role of 3D degradable environments in revealing disease-associated changes in chondrocyte force generation and emphasize the necessity of carefully selecting model systems when investigating OA mechanobiology.

bioengineering↗

bioRxiv2025

Inverse modeling of heterogeneous ECM mechanical properties in nonlinear 3DTFM

Accurate characterization of cellular tractions is crucial for understanding cell-extracellular matrix (ECM) mechanical interactions and their implications in pathology-related situations, yet their direct measurement in experimental setups remains challenging. Traction Force Microscopy (TFM) has emerged as a key methodology to reconstruct traction fields from displacement data obtained via microscopic imaging techniques. While traditional TFM methods assume homogeneous and static ECM properties, the dynamic nature of the ECM through processes such as enzyme-induced collagen degradation or cellmediated collagen deposition i.e. ECM remodeling, requires approaches that account for spatio-temporal evolution of ECM stiffness heterogeneity and other mechanical properties. In this context, we present a novel inverse methodology for 3DTFM, capable of reconstructing spatially heterogeneous distributions of the ECMs stiffness. Our approach formulates the problem as a PDE-constrained inverse method which searches for both displacement and the stiffness map featured in the selected constitutive law. The elaborated numerical algorithm is integrated then into an iterative Newton-Raphson/Finite Element Method (NR/FEM) framework, bypassing the need for external iterative solvers. We validate our methodology using in silico 3DTFM cases based on real cell geometries, modeled within a nonlinear hyperelastic framework suitable for collagen hydrogels. The performance of our approach is evaluated across different noise levels, and compared versus the commonly used iterative L-BFGS algorithm. Besides the novelty of our formulation, we demonstrate the efficacy of our approach both in terms of accuracy and CPU time efficiency.

biophysics↗

bioRxiv2025

Linking Molecular Tension and Cellular Tractions: A Multiscale Approach to Focal Adhesion Mechanics

Focal adhesions (FAs) are mechanosensitive structures that mediate force transmission between cells and the extracellular matrix. While Traction Force Microscopy (TFM) quantifies cellular tractions exerted on deformable substrates, Forster Resonance Energy Transfer (FRET)-based tension probes, such as Vinculin Tension Sensors (VinTS), measure molecular-scale forces within FA proteins. Despite their potential synergy, these methods have rarely been combined to explore the interplay between molecular tension and cellular tractions. Here, we introduce a framework integrating TFM and VinTS to investigate FA mechanics across scales. At cell level, tractions and vinculin tension increased with substrate stiffness. At FA level, vinculin tension correlated with vinculin density, while tractions scaled with FA area, total vinculin content and vinculin density. Direct comparison of tractions to tension revealed a complex, heterogenous relationship between these forces, possibly linked to diverse cell and FA maturation states. Sub-FA analysis revealed conserved spatial patterns, with tension and traction increasing towards the cell periphery. This multiscale approach provides insights into the multiscale dynamics of FA mechanotransduction, bridging the gap between molecular forces and cellular mechanics.j

biophysics↗

bioRxiv2023

Force-mediated recruitment and reprogramming of healthy endothelial cells drive vascular lesion growth

Force-driven cellular interactions are known to play a critical role in cancer cell invasion, but have remained largely unexplored in the context of vascular abnormalities, partly due to a lack of suitable genetic and cellular models. One such vascular abnormality, cerebral cavernous malformation (CCM) is characterized by leaky, tumor-like vessels in the brain, where CCM mutant cells recruit wild-type cells from the surrounding endothelium to form mosaic lesions and promote lesion growth; however the mechanisms underlying this recruitment remain poorly understood. Here, we use 3D traction force microscopy in a in-vitro model of early angiogenic invasion to reveal that hyper-angiogenic CCM2-silenced endothelial cells enhance angiogenic invasion of neighboring wild-type cells through force and extracellular matrix-guided mechanisms. We show that mechanically hyperactive CCM2-silenced tips guide wild-type cells by exerting and transmitting pulling forces and by leaving degraded paths in the matrix as cues promoting invasion in a ROCKs-dependent manner. This transmission of forces is associated with a reinforcement of {beta}1 integrin-dependent adhesive sites and actin cytoskeleton in the wild-type followers. We also show that during this process wild-type cells are reprogrammed into stalk cells through activation of matrisome and DNA replication programs, eventually leading to cell proliferation. These observations unveil a novel vascular lesion growth mechanism where CCM2 mutants hijack the function of wild-type cells to fuel CCM lesion growth. By integrating biophysical computational methodologies to quantify cellular forces with advanced molecular techniques, we provide new insights in the etiology of vascular malformations, and open up avenues to study the role of cell mechanics in tissue heterogeneity and disease progression.

bioengineering↗

bioRxiv2022

Traction force reconstruction assessment on real three-dimensional matrices and cellular morphologies

Traction force microscopy (TFM) allows to estimate tractions on the surface of cells when they mechanically interact with hydrogel substrates that mimic the extracellular matrix (ECM). The field of mechanobiology has a strong interest in using TFM in 3D in vitro models. However, there are a number of challenges that hamper the accuracy of 3D TFM and that are often bypassed. In this study, the computational efficiency and accuracy of TFM, referred to traction reconstruction from synthetically generated (control) ground truth solutions, are assessed from four different perspectives: magnitude of cellular pulling force (and hence strain level achieved in the hydrogel), effect of the complexity of the cellular morphology, accuracy and computational efficiency of forward vs inverse traction recovery methods, and the effect of incorrectly selecting a constitutive model that describes the behavior of the ECM (i.e. linear/nonlinear). The main results showed: (i) traction reconstruction is more challenging for complex cell morphologies, (ii) there is no significant impact of the magnitude of cellular pulling force on the overall reconstruction accuracy, and (iii) modeling a nonlinear hydrogel with a linear constitutive model leads to non-negligible errors (up to 80% and 30% for forward and inverse methodologies, respectively) in traction reconstruction. This study expands the characterization of the accuracy and efficiency of 3D TFM, highlighting important factors to be considered in future 3D TFM in vitro applications.

cell biology↗

bioRxiv2022

Synthetic fibrous hydrogels as a platform to decipher cell-matrix mechanical interactions

The interactions between cells and their direct environment are crucial for cell fate but biochemically and mechanically highly complex, and therefore, poorly understood. Despite recent advances that exposed the impact of a range of different factors, real progress remains challenging, since appropriate controllable matrices and quantitative analysis techniques that cover a range of time and length scales are unavailable. Here, we use a synthetic fibrous hydrogel with nonlinear mechanics to mimic and tailor the bi-directional cell-matrix interactions. Using advanced microscopy-based approaches, we acquire a comprehensive picture of how cellular traction forces, fiber remodeling, matrix stiffening, matrix properties and cellular behavior interact, highlighting for instance, the importance of a fibrous architecture and nonlinear mechanics of the matrix. Complete mapping of cell-matrix interactions at the cellular length scale provides indispensable information for the rational design of biomimetic materials to recreate realistic in vitro cell environments.

biophysics↗

bioRxiv2021

CCM2 deficient endothelial cells undergo a mechano-dependent reprogramming into senescence associated secretory phenotype used to recruit endothelial and immune cells.

Cerebral Cavernous Malformations (CCM) is a cerebrovascular disease in which stacks of dilated haemorrhagic capillaries form focally in the brain. Whether and how defective mechanotransduction, cellular mosaicism and inflammation interplay to sustain the progression of CCM diseases is unknown. Here, we reveal that CCM1- and CCM2-silenced endothelial cells enter into senescence associated with secretory phenotype (SASP) that they use to invade the extracellular matrix and attract surrounding wild-type endothelial and immune cells. Further, we demonstrate that this SASP is driven by the mechanical and molecular disorders provoked by ROCKs dysfunctions. By this, we identify CCM1/2 and ROCKs as parts of a scaffold controlling senescence, bringing new insights into the emerging field of the control of aging by cellular mechanics. This discovery reconciles the dysregulated traits of CCM1/2-deficient endothelial cells into a unique mechano-dependent endothelial fate that links perturbed mechanics to microenvironment remodelling and long-range activation of endothelial and immune cells.

cell biology↗

bioRxiv2020

TFMLAB: a MATLAB toolbox for 4D traction force microscopy

We present TFMLAB, a MATLAB software package for 4D (x;y;z;t) Traction Force Microscopy (TFM). While various TFM computational workflows are available in the literature, open-source programs that are easy to use by researchers with limited technical experience and that can analyze 4D in vitro systems do not exist. TFMLAB integrates all the computational steps to compute active cellular forces from confocal microscopy images, including image processing, cell segmentation, image alignment, matrix displacement measurement and force recovery. Moreover, TFMLAB eases usability by means of interactive graphical user interfaces. This work describes the package's functionalities and analyses its performance on a real TFM case.

bioengineering↗

bioRxiv2020

Advanced in silico validation framework forthree-dimensional Traction Force Microscopy andapplication to an in vitro model of sproutingangiogenesis

In the last decade, cellular forces in three-dimensional hydrogels that mimic the extracellular matrix have been calculated by means of Traction Force Microscopy (TFM). However, characterizing the accuracy limits of a traction recovery method is critical to avoid obscuring physiological information due to traction recovery errors. So far, 3D TFM algorithms have only been validated using simplified cell geometries, bypassing image processing steps or arbitrarily simulating focal adhesions. Moreover, it is still uncertain which of the two common traction recovery methods, i.e., forward and inverse, is more robust against the inherent challenges of 3D TFM. In this work, we established an advanced in silico validation framework that is applicable to any 3D TFM experimental setup and that can be used to correctly couple the experimental and computational aspects of 3D TFM. Advancements relate to the simultaneous incorporation of complex cell geometries, simulation of microscopy images of varying bead densities and different focal adhesion sizes and distributions. By measuring the traction recovery error with respect to ground truth solutions, we found that while highest traction recovery errors occur for cases with sparse and small focal adhesions, our implementation of the inverse method improves two-fold the accuracy with respect to the forward method (average error of 23% vs. 50%). This advantage was further supported by recovering cellular tractions around angiogenic sprouts in an in vitro model of angiogenesis. The inverse method recovered more realistic traction patterns than the forward method, showing higher traction peaks and a clearer pulling pattern at the sprout protrusion tips.

bioengineering↗

bioRxiv2020

Actuation Enhances Patterning in Human Neural Tube Organoids

Tissues achieve their complex spatial organization through an interplay between gene regulatory networks, cell-cell communication, and physical interactions mediated by mechanical forces. Current strategies to generate in-vitro tissues have largely failed to implement such active, dynamically coordinated mechanical manipulations, relying instead on extracellular matrices which respond to, rather than impose mechanical forces. Here we develop devices that enable the actuation of organoids. We show that active mechanical forces increase growth and lead to enhanced patterning in an organoid model of the neural tube derived from single human pluripotent stem cells (hPSC). Using a combination of single-cell transcriptomics and immunohistochemistry, we demonstrate that organoid mechanoregulation due to actuation operates in a temporally restricted competence window, and that organoid response to stretch is mediated extracellularly by matrix stiffness and intracellularly by cytoskeleton contractility and planar cell polarity. Exerting active mechanical forces on organoids using the approaches developed here is widely applicable and should enable the generation of more reproducible, programmable organoid shape, identity and patterns, opening avenues for the use of these tools in regenerative medicine and disease modelling applications.

bioengineering↗

bioRxiv2020

Simulating flow induced migration in vascular remodelling

Shear stress induces directed endothelial cell (EC) migration in blood vessels leading to vessel diameter increase and induction of vascular maturation. Other factors, such as EC elongation and interaction between ECs and non-vascular areas are also important. Computational models have previously been used to study collective cell migration. These models can be used to predict EC migration and its effect on vascular remodelling during embryogenesis. We combined live time-lapse imaging of the remodelling vasculature of the quail embryo yolk sac with flow quantification using a combination of micro-Particle Image Velocimetry and computational fluid dynamics. We then used the flow and remodelling data to inform a model of EC migration during remodelling. To obtain the relation between shear stress and velocity in vitro for EC cells, we developed a flow chamber to assess how confluent sheets of ECs migrate in response to shear stress. Using these data as an input, we developed a multiphase, self-propelled particles (SPP) model where individual agents are driven to migrate based on the level of shear stress while maintaining appropriate spatial relationship to nearby agents. These agents elongate, interact with each other, and with avascular agents at each time-step of the model. We compared predicted vascular shape to real vascular shape after 4 hours from our time-lapse movies and performed sensitivity analysis on the various model parameters. Our model shows that shear stress has the largest effect on the remodelling process. Importantly, however, elongation played an especially important part in remodelling. This model provides a powerful tool to study the input of different biological processes on remodelling. Author summaryShear stress is known to play a leading role in endothelial cell (EC) migration and hence, vascular remodelling. Vascular remodelling is, however, more complicated than only EC migration. To achieve a better understanding of this process, we developed a computational model in which, shear stress mediated EC migration has the leading role and other factors, such as avascular regions and EC elongation, are also accounted for. We have tested this model for different vessel shapes during remodelling and could study the role that each of these factors play in remodelling. This model gives us the possibility of addition of other factors such as biochemical signals and angiogenesis which will help us in the study of vascular remodelling in both development and disease.

developmental biology↗

bioRxiv2019

Intercellular adhesion stiffness moderates cell decoupling on stiff substrates

The interplay between cell-cell and cell-substrate interactions is complex yet necessary for the formation and well-functioning of tissues. The same mechanosensing mechanisms used by the cell to sense its extracellular matrix, also play a role in intercellular interactions. We used the discrete element method to develop a computational model of a deformable cell that includes subcellular components responsible for mechanosensing. We modeled a cell pair in 3D on a patterned substrate, a simple laboratory setup to study intercellular interactions. We explicitly modeled focal adhesions between the cells and the substrate, and adherens junctions between cells. These mechanosensing adhesions matured; their disassembly rate was dictated by the force they carry. We also modeled stress fibers which bind the discrete adhesions and contract. The mechanosensing fibers strengthened upon stalling and exerted higher forces. Traction exerted on the substrate was used to generate maps displaying the magnitude of the tractions along the cell-substrate interface. Simulated traction maps are compared to experimental maps obtained via traction force microscopy. The model recreates the dependence on substrate stiffness of the tractions spatial distribution across the cell-substrate interface, the contractile moment of the cell pair, the intercellular force, and the number of focal adhesions. It also recreates the phenomenon of cell decoupling, in which cells exert forces separately when substrate stiffness increases. More importantly, the model provides viable molecular explanations for decoupling. It shows that the implemented mechanosensing mechanisms are responsible for competition between different fiber-adhesion configurations present in the cell pair. The point at which an increasing substrate stiffness becomes as high as that of the cell-cell interface is the tipping point at which configurations that favor cell-substrate adhesion dominate over those favoring cell-cell adhesion. This competition is responsible for decoupling. Additionally, we learn that extent of decoupling is modulated by adherens junction maturation.\n\nStatement of SignificanceCells are sensitive to mechanical factors of their extracellular matrix while simultaneously in contact with other cells. This creates complex intercellular interactions that depend on substrate stiffness and play a role in processes such as development and diseases like cardiac arrhythmia, asthma, and cancer. The simplest cell collective system in vitro is a cell pair on a patterned substrate. We developed a computational model of this system which explains the role of molecular adhesions and contractile fibers in the dynamics of cell-cell interactions on substrates with different stiffness. It is one of the first models of a deformable cell collective based on mechanical principles. It recreates cellular decoupling, a phenomenon in which cells exert forces separately, when substrate stiffness increases.

bioengineering↗

bioRxiv2019

The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model

Actin protrusion dynamics plays an important role in the regulation of three-dimensional (3D) cell migration. Cells form protrusions that adhere to the surrounding extracellular matrix (ECM), mechanically probe the ECM and contract in order to displace the cell body. This results in cell migration that can be directed by the mechanical anisotropy of the ECM. However, the subcellular processes that regulate protrusion dynamics in 3D cell migration are difficult to investigate experimentally and therefore not well understood. Here, we present a computational model of cell migration through a degradable viscoelastic ECM. The cell is modeled as an active deformable object that captures the viscoelastic behavior of the actin cortex and the subcellular processes underlying 3D cell migration. The ECM is regarded as a viscoelastic material, with or without anisotropy due to fibrillar strain stiffening, and modeled by means of the meshless Lagrangian smoothed particle hydrodynamics (SPH) method. ECM degradation is captured by local fluidization of the material and permits cell migration through the ECM. We demonstrate that changes in ECM stiffness and cell strength affect cell migration and are accompanied by changes in number, lifetime and length of protrusions. Interestingly, directly changing the total protrusion number or the average lifetime or length of protrusions does not affect cell migration. A stochastic variability in protrusion lifetime proves to be enough to explain differences in cell migration velocity. Force-dependent adhesion disassembly does not result in faster migration, but can make migration more efficient. We also demonstrate that when a number of simultaneous protrusions is enforced, the optimal number of simultaneous protrusions is one or two, depending on ECM anisotropy. Together, the model provides non-trivial new insights in the role of protrusions in 3D cell migration and can be a valuable contribution to increase the understanding of 3D cell migration mechanics.\n\nAuthor summaryThe ability of cells to migrate through a tissue in the human body is vital for many processes such as tissue development, growth and regeneration. At the same time, abnormal cell migration is also playing an important role in many diseases such as cancer. If we want to be able to explain the origin of these abnormalities and develop new treatment strategies, we have to understand how cells are able to regulate their migration. Since it is challenging to investigate cell migration through a biological tissue in experiments, computational modeling can provide a valuable contribution. We have developed a computational model of cell migration through a deformable and degradable material that describes both mechanics of the cell and the surrounding material and subcellular processes underlying cell migration. This model captures the formation of long and thin protrusions that adhere to the surrounding material and that pull the cell forward. It provides new non-trivial insights in the role of these protrusions in cell migration and the regulation of protrusion dynamics by cell strength and anisotropic mechanical properties of the surrounding material. Therefore, we believe that this model can be a valuable tool to further improve the understanding of cell migration.

bioengineering↗