344 papers
This paper presents the development of chemically responsive protein switches using the CATCHFIRE technology and its derivative CATCH-ON system to achieve fast, reversible, and titratable control over diverse biological activities, including enzyme assembly, gene expression, and therapeutic protein secretion.
This paper presents a breathable, self-adhesive Janus trilayer bioelectronic dressing that utilizes gradient wettability to enable directional exudate transport for the spatiotemporally controlled integration of multiplexed biochemical sensing, on-demand drug release, and low-voltage electrical stimulation to effectively treat and monitor chronic wounds.
LAS3R is a low-cost, open-source, and secure framework built on a Raspberry Pi hub and ESP32 microcontrollers that enables researchers with minimal technical expertise to rapidly prototype, deploy, and remotely manage multiple custom laboratory automation devices while ensuring robustness and data security.
This study demonstrates that a lysate from FGF2-expressing engineered *Vibrio natriegens* can simultaneously replace both fetal bovine serum and recombinant FGF2 in cell culture media, enabling cost-effective, sustainable, and high-performance cultivation of bovine muscle cells for meat production.
This study identifies impaired systemic transgene expression as a key barrier to the efficacy of mRNA lipid nanoparticle cancer vaccines in older individuals and demonstrates that rationally engineering LNP formulations to restore distal antigen expression can fully rescue therapeutic immune responses and tumor control in aged hosts.
This paper presents a versatile, open-source multiscale Light Field Microscopy platform that integrates with standard wide-field microscopes to enable fast, scan-free 3D volumetric imaging across biological scales from subcellular dynamics to whole-brain activity, overcoming the limitations of specialized, single-purpose LFM systems.
This study presents a dual-engineered dendritic cell-derived small extracellular vesicle platform that synergistically combines intrinsic T cell priming with targeted checkpoint reprogramming to achieve potent, scalable, and cell-free cancer immunotherapy.
Researchers developed a machine learning-enhanced optical nanosensor array using single-walled carbon nanotubes and DNA sequences to accurately identify and quantify four anthracycline chemotherapeutics in synthetic biofluids, offering a potential solution for personalized dosing to improve cancer treatment efficacy while minimizing toxicity.
This study optimizes AAV-based gene delivery for retinal gene therapy by identifying the ShH10Y serotype and GFAP (gfaABC1D) promoter as the most effective combination for specifically targeting Müller glial cells in rats, while also developing new vectors with engineered promoters to enhance cargo capacity.
This study presents a modular CRISPRi-based whole-cell biosensor in *Escherichia coli* that inverts native glucose repression logic to generate a tunable, linear fluorescence response for real-time monitoring of intracellular glucose dynamics and cellobiose degradation.
This study establishes *Vibrio natriegens* as a sustainable production platform for L-lysine by engineering feedback-resistant enzymes to achieve high titers from glucose and demonstrating the strain's ability to valorize chitin-derived N-acetylglucosamine.
This paper presents a novel method using sacrificial embedded 3D printing within tunable self-healing alginate to fabricate centimeter-scale, perfusable endocrine pancreatic tissues that support the long-term viability and function of high-density stem cell-derived islet clusters.
This study demonstrates that while a muscle-driven simulation framework successfully guided the selection of exotendon designs that reduced energetic cost at high running speeds, the specific parameters predicted to maximize savings did not translate to significant experimental improvements, highlighting the need to account for individual variability when developing assistive running devices.
This study establishes design principles for "lipoengineering" biomolecular condensates by using site-specific lipidation to programmatically control cohesion and adhesion, thereby enabling the rational construction of multi-phase materials that guide intestinal organoid morphogenesis.
This study introduces a three-dimensional thermodynamic phase-field framework that successfully models patient-derived tumour spheroid dynamics by quantitatively capturing nutrient-limited growth and mechanical evolution, demonstrating predictive accuracy comparable to established models while uniquely resolving internal mechanical structures not directly observable in experiments.
This study employs directed evolution in human cells to develop compact, highly active RNA-guided nucleases (Cas12f1Super and TnpBSuper) that overcome the size limitations of AAV delivery while significantly enhancing editing efficiency for potential therapeutic applications.
MR KLEAN is a novel, acquisition-agnostic k-space denoising method that leverages local low-rank structure and singular-value thresholding to effectively reduce noise and enhance image quality across diverse high-dimensional MRI applications, including non-Cartesian and accelerated reconstructions.
This paper proposes a minimal nonlinear biomechanical model that utilizes bifurcation theory to explain the variability and sudden deterioration of clinical outcomes in clavicle fractures, offering a theoretical framework for defining safe treatment thresholds and optimizing surgical planning.
This study introduces QtEncNC, a modular protein nanocage platform leveraging the unique permeability of an encapsulin-based shell to enable facile, single-step loading of large therapeutic proteins and their efficient pH-triggered delivery into the cytosol.
The authors introduce image-scanning oblique plane (ISOP) microscopy, a novel light-sheet technique that achieves high-speed volumetric imaging at up to 1,000 volumes per second with submicrometer resolution while maintaining key performance metrics like spatial resolution and photon efficiency to capture rapid biological dynamics.