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This study shows that presenting collagen V at a cell-substrate interface enhances fibroblast traction, adhesion turnover, and migration, mimicking the effects of substrate stiffening.

This study shows that breast cancer subtype and radiation affect osteocyte mechanosensing, with ER+ tumors being more sensitive to radiation-induced secretome changes.

This paper introduces a micromanipulation platform to extract viable cell clusters from hydrogel-embedded 3D spheroids without disrupting the parent structure.

This paper develops a micropillar array platform to study how cancer cells respond to mechanical stiffness gradients at the cell scale, finding biphasic pillar displacement and increased traction forces with stiffness.

This study compares dual-enzyme spore display with mixed single-enzyme spores for cellulose hydrolysis, finding that mixing single-enzyme spores yields higher glucose production.

This paper evaluates residue-level attributions in protein language models using synthetic fitness landscapes and identifies interventions that improve attribution accuracy.

This paper introduces kinGEMs, a framework that integrates deep learning-predicted kinetic parameters into genome-scale models to improve metabolic modeling accuracy and scalability.

This paper develops 3D-bioprinted tumor-mimicking phantoms to benchmark nanofluorophores under surgical conditions, showing their ability to evaluate fluorescence properties and guide tumor resection.

This study displays a lichenase on Bacillus subtilis spores, enhancing its thermal stability and feed substrate hydrolysis efficiency compared to the free enzyme.

This paper introduces frequency modulated semi-continuous wave Doppler ultrasound as a novel technique for measuring scatterer velocity and range using wearable ultrasound systems.

This paper introduces a genetically programmable hydrogel platform to create precision recombinant human ECM mimics with tunable mechanical and biological properties.

AutoMod improves DNA origami design accuracy by reducing shape deviation in curved structures through semi-automated sequence generation and benchmarking.

This paper introduces FN-MAP, a fibronectin-coated microparticle scaffold that combines mechanical stability and bioactivity, showing improved cell response and translational potential in 3D bioprinting and wound healing.

This study uses 3D lung models to show that environmental stiffness has the strongest effect on fibroblast phenotype and that both matrix composition and stiffness influence gene expression in fibrotic disease.

This study modifies silk fibroin with fatty acid esterification to create water-stable, anti-fouling, biocompatible materials for implantable applications.

This study examines how degeneration affects the fracture resistance of human annulus fibrosus through mechanical testing and imaging, finding reduced toughness in degenerate tissue.

This study examines the association between proximal sesamoid bone fatigue and palmar osteochondral disease in Thoroughbred racehorses using CT scans and identifies significant correlations between structural changes in these areas.

This paper introduces an active learning method to discover PAMs for uncharacterized CRISPR-Cas9 orthologs without sequencing, reducing data requirements and validating it on known and novel Cas9 variants.

This paper describes LimCORE, an automated system for CAR-T cell manufacturing that achieves comparable performance to existing methods while reducing operator time.