bims-ecemfi Biomed News
on ECM and fibroblasts
Issue of 2025–07–27
three papers selected by
Badri Narayanan Narasimhan, University of California, San Diego



  1. ACS Biomater Sci Eng. 2025 Jul 25.
      Cell migration is an essential step in wound healing. Mechanical input from the local microenvironment controls cell velocity and directionality during migration, which is translated into biochemical cues by focal adhesion kinase (FAK) inside the cell. FAK induces both regeneration and fibrosis. The mechanisms by which FAK decides wound fate (regenerative or fibrotic repair) in soft, normal wounds or stiff, fibrotic wounds remains unclear. Here we show that FAK differentially mechanoregulates wound behavior on soft substrates mimicking normal wounds and stiff substrates mimicking fibrotic wounds by converting mechanical substrate stimuli into variable cell velocity, directionality, and angle during wound healing. Cells on soft substrates migrate slower and less persistently; cells on stiff substrates migrate faster and more persistently with the same angle as the cells on normal wound substrates. Inhibition of FAK results in substantially slower, less persistent, and less correctly angled cell migration, which leads to slowed wound closure. Moreover, FAK inhibition impairs fibroblast's ability to respond to substrate stiffness when migrating. Here we show that FAK is an essential mechanoregulator of wound migration in fibroblast wound closure and is responsible for controlling cell migration dynamics in response to substrate stiffnesses mimicking normal or fibrotic wounds.
    Keywords:  FAK; fibroblast; focal adhesion; mechanotransduction; migration; wound healing
    DOI:  https://doi.org/10.1021/acsbiomaterials.5c00667
  2. Dev Cell. 2025 Jul 16. pii: S1534-5807(25)00404-6. [Epub ahead of print]
      Intestinal organoids have become an important model system in basic and translational research, but their culture typically relies on an ill-defined laminin-rich extracellular matrix (ECM). Using tunable and chemically defined 3D hydrogels, we systematically explored the role of the ECM during murine and human intestinal organoid development. We discovered that without exogenous laminin, stem cells developed into intestinal epithelia with a large proportion of regenerative cells. This population secreted a laminin-rich basement membrane that functioned as a de novo stem cell niche, promoting organoid formation independent of exogenous laminin. We identified ubiquitous expression of laminin chains Lama3, Lamb3, and Lamc2, but Lamb1 and Lamc1 were spatially restricted to the crypt domain. Epithelial-cell-secreted basement membranes extracted from organoids promoted the formation of patterned organoids. Our results highlight the utility of chemically defined matrices for studying ECM biology and pave the way for the replacement of animal-derived matrices in organoid culture.
    Keywords:  ECM; basement membrane; epithelium; hydrogels; laminin; niche; organoid; small intestine; stem cells
    DOI:  https://doi.org/10.1016/j.devcel.2025.06.026
  3. Biophys J. 2025 Jul 22. pii: S0006-3495(25)00450-3. [Epub ahead of print]
      The measurement of stresses and forces at the tissue level has proven to be an indispensable tool for the understanding of complex biological phenomena such as cancer invasion, embryo development or wound healing. One of the most versatile tools for force inference at the cell and tissue level are elastic force sensors, whose biocompatibility and tunable material properties make them suitable for many different experimental scenarios. The evaluation of those forces, however, is still a bottleneck due to the numerical methods seen in literature until now, which are usually slow and render low experimental yield. Here we present BeadBuddy, a ready-to-use platform for the evaluation of deformation and stresses from fluorescently labelled sensors within seconds. The strengths of BeadBuddy lie in the pre-computed analytical solutions of the elastic problem, the abstraction of data into Spherical Harmonics, and a simple user interface that creates a smooth workflow for force inference.
    Keywords:  Biomechanics; Force Inference; In-vivo; Multi-scale; Software
    DOI:  https://doi.org/10.1016/j.bpj.2025.07.015