Discover, rate, and discuss biology preprints.

The paper identifies and optimizes a novel chimeric transposase system from pea aphids, enhancing transposition efficiency in mammalian cells for improved biologics manufacturing.

The paper introduces Living Neurosheets, modular neural systems that enable scalable, bio-inspired neural architectures with spatial control and multimodal integration.

This study improves nanobody structure prediction by using synthetic data and a classifier to filter structural accuracy, achieving better results than existing methods with lower computational cost.

This paper develops a degradable PCLA nanofibrous scaffold for annulus fibrosus repair, showing accelerated degradation and tissue regeneration in ovine models.

This study engineered sialylation on a scFv-based therapeutic to reduce anti-drug antibodies but found no significant impact on immunogenicity or pharmacokinetics in mice.

This study determines Nitinol material properties of 11 peripheral stents using inverse computational analysis and finds significant variation in elasticity and transformation stresses across devices.

This paper introduces a method to create bispecific nanobody conjugates with controlled topology using non-canonical amino acids, enabling precise domain orientation for immune checkpoint blockade therapy.

This study analyzes EEG data from immersive VR environments to identify spectral features linked to emotional and cognitive processing.

This paper uses machine learning to analyze nano-electrochemical sensor data for classification, identification, and quantitation of biological samples without requiring specific probes or labels.

This study characterizes luminal gains and damage after balloon angioplasty in human femoropopliteal arteries with varying calcium burdens using imaging, histology, and mechanical testing.

This paper introduces SMOLM-LFM, a method for 3D single-molecule orientation and localization microscopy using ratiometric intensity estimation without polarization projections, enabling 6D molecular analysis.

This study shows osteoblasts promote breast cancer growth via CXCL5/CXCR2 signaling in 2D and 3D bone-like cultures, with osteoblasts having a stronger effect in 3D models.

This paper develops a high-fidelity 3D reconstruction pipeline for murine lymph nodes, enabling accurate modeling of drug transport and immune cell dynamics.

This paper develops an automated breast density detection technique that improves risk prediction by synthesizing a signal-dependent noise stochastic process across different mammographic technologies.

This paper develops sulfonate-functionalized mesoporous silica nanoparticles to deliver Irinotecan, improving its stability, efficacy, and antimetastatic activity in colorectal cancer.

This paper develops a gene expression system targeting mineralized tissues using bisphosphonate lipids, demonstrating enhanced RNA delivery and local therapeutic effects in bone regeneration and inflammation.

This study evaluates the anti-fibrotic effects of aspirin on a 3D in vitro liver fibrosis model using biochemical, morphological, and molecular analyses.

Micellangelo generates high-resolution fluorescence images of cells on micro-topographical surfaces, enabling in silico exploration of cell-material interactions.

This study shows how thermally tunable heterodimeric linkers can control the morphology of protein tubes by altering their thermal transition behaviors and enabling multi-walled structures.

This study evaluates myco-composites made from Ganoderma species and lignocellulosic waste, finding that substrate type affects density, shrinkage, and chemical structure.