henhaobio
Sign in

BiointerphasesBioengineeringPeer-reviewed journal article

Substrate viscoelasticity regulates fibroblast adhesion and migration

Neha PaddillayaiD, Akshar Rao, Anshul ShrivastavaiD, Imnatoshi Jamir, Kundan SenguptaiD, Namrata GundiahiD

PDFDOIPreprint

Abstract

Mechanical properties of the extracellular matrix (ECM) modulate cell-substrate interactions and influence cellular behaviors such as contractility, migrations, and proliferation. Although the effects of substrate stiffness on mechanobiology have been well studied, the role of ECM viscoelasticity in fibrotic progression remains less understood. To examine how viscoelasticity affects the biophysical properties and regulates the signaling of human mammary fibroblasts, we engineered elastic (E) and viscoelastic (VE) polyacrylamide hydrogels with comparable storage moduli ([~]14.52 {+/-} 1.03 kPa) but distinctly different loss moduli. Fibroblasts cultured on E hydrogels spread extensively (2428.93 {+/-} 864.71 m{superscript 2}), developed prominent stress fibers with higher zyxin intensity, and generated higher traction stresses (2931.57 {+/-} 1732.61 Pa). In contrast, fibroblasts on VE substrates formed smaller focal adhesion areas (54.2% reduction), exhibited lower critical adhesion strengths (51.8%), and generated 21% lower traction stresses (p < 0.001), indicating weaker adhesions. These substrates also promoted migrations and showed enhanced proliferation accompanied by reduced YAP activity, suggesting a mechanotransduction shift that may involve alternative signaling pathways. In contrast, E substrates showed YAP nuclear translocation, consistent with greater cytoskeletal tension and contractility. These findings highlight the importance of energy dissipation mechanisms in regulating fibroblast function on substrates mimicking the fibrotic milieu. Our results demonstrate that tuning the ECM viscoelasticity is a useful strategy to regulate cell behaviors in tissue engineered scaffolds, and develop better disease modeling for regenerative medicine.

Citations
5
FWCI
2.48
Field percentile
top 11%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.