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Biology subjects

Drennan, W. C.

Publications and source records attributed to Drennan, W. C..

3 recordsLinked to original sources

Opposing mechanical anchorage drives collective cell-matrix interaction

Collective cell behaviors emerge from mechanical interactions with the extracellular matrix (ECM), yet the physical principles governing long-range cell-cell communication remain elusive. Existing models assume that neighboring cells couple by strain-stiffening the ECM between them, amplifying contractility through positive feedback. Here we show that pairwise interactions are insufficient. Instead, stable mechanical communication requires opposing mechanical anchors that allow a cell to strain-stiffen the matrix on both sides. Combining ECM strain mapping, direct cell-force measurements, and live-cell imaging, we find that isolated cell pairs generate only weak, stochastic matrix strains without persistent interactions. In contrast, cells supported by opposing neighbors, or rigid beads acting as mechanical anchors, generate large bilateral matrix strains, increase effective matrix stiffness, align collagen fibers, and form stable multicellular networks. To explain these observations, we develop a predictive mechanosensitive theory introducing effective matrix stiffness and a critical contractile force governing the transition from stochastic to persistent interaction. The theory predicts, and experiments confirm, that opposing mechanical anchorage enables cells to exceed the critical force, trigger collective matrix remodeling, and compact the matrix through collagen-fiber buckling. Together, these findings provide a unifying framework for understanding collective force generation in development, wound repair, fibrosis, and tumor progression.

biophysics↗

Biomechanical 3D tumor models on a micro-milled high-throughput force sensor array

The tumor microenvironment plays a critical role in drug resistance, with extracellular matrix (ECM) mechanics, cell-cell crosstalk, and transport barriers contributing to poor therapeutic outcomes. Traditional two-dimensional (2D) cultures fail to capture these features, and drug efficacy in 2D often does not translate to three-dimensional (3D) models or in vivo tumors. Here, we introduce a 3D tumor model integrated with a high- throughput biomechanical sensor array that enables simultaneous measurement of cellular forces, matrix remodeling, and molecular transport. Fabricated using a scalable and cost-effective micro-milling approach, the platform allows parallel generation of multiple tumor constructs within a single dish. Using patient-derived pancreatic ductal adenocarcinoma (PDA) cells and stromal fibroblasts, we show that responses to gemcitabine and all-trans retinoic acid (ATRA) in 3D differ markedly from 2D cultures, consistent with clinical observations. By integrating biochemical and biomechanical readouts, this technology provides a more physiologically relevant tumor model and a powerful tool for preclinical drug testing and personalized medicine.

cancer biology↗

A fast, muscle-actuated biohybrid swimming robot

The integration of biological actuators with soft scaffolds has led to biohybrid robots including microscale flagellate-like swimmers which generate thrust by waving their flagella-like tails. However, they achieve swimming speeds of only 0.014 body lengths per minute, Reynolds number (Re) [~] 10-3, which is much slower than natural flagellates (O(102 - 103) body lengths per minute). To investigate this, we applied theoretical and experimental methods, including fabrication of a swimmer that converts muscle contractions into large angular tail displacements, reaching swimming speeds of 86.8 m/s (0.58 body lengths per minute), surpassing low-Re predictions. Swimming dynamics sharply transition from a low-Re ([~] 10-3) to an intermediate-Re ([~] 0.1) regime when the actuation angle exceeded 4{degrees}. We used the swimmer to study the ability of muscle to adapt to mechanical stiffness and the beneficial effects of neuromuscular coculture on muscle development. These insights into mechanical and chemical cues will help optimize future biobots. TeaserHow are biological flagellate swimmers like E. coli and sperm cells so fast? We have built a new biohybrid robot to explore the theory.

bioengineering↗