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The ability to apply and measure high forces (>10 pN) on the nanometer scale is critical to the development of nanomedicine, molecular robotics, and the understanding of biological processes such as chromatin condensation, membrane deformation, and viral packaging. Established force spectroscopy techniques including optical traps, magnetic tweezers, and atomic force microscopy rely on micron-sized or larger handles to apply forces, limiting their applications within constrained geometries including cellular environments and nanofluidic devices. A promising alternative to these approaches is DNA-based molecular calipers. However, this approach is currently limited to forces on the scale of a few piconewtons. To study the force application capabilities of DNA devices, we implemented DNA origami nanocalipers with tunable mechanical properties in a geometry that allows application of force to rupture a DNA duplex. We integrated static and dynamic single-molecule characterization methods and statistical mechanical modeling to quantify the device properties including force output and dynamic range. We found that the thermally driven dynamics of the device are capable of applying forces of at least 20 piconewtons with a nanometer-scale dynamic range. These characteristics could eventually be used to study other biomolecular processes such as protein unfolding or to control high-affinity interactions in nanomechanical devices or molecular robots.
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http://dx.doi.org/10.1021/acsnano.1c10698 | DOI Listing |
Arch Gerontol Geriatr
August 2025
Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China. Electronic address:
Background: Frailty is a dynamic condition that may affect mental health. This study aimed to investigate the associations of frailty and its changes with the risks of depressive symptoms across multiple regions in aging populations.
Methods: Data were drawn from five cohort studies in the United States, England, Europe, China, and Mexico.
Annu Rev Entomol
September 2025
2Department of Animal Physiology, Zoological Institute and Museum, University of Greifswald, Greifswald, Germany.
The evolutionary success of insects may be partly attributed to their profound ability to adjust metabolism in response to environmental stress or resource variability at a range of timescales. Metabolic flexibility encompasses the ability of an organism to adapt or respond to conditional changes in metabolic demand and tune fuel oxidation to match fuel availability. Here, we evaluate the mechanisms of metabolic flexibility in insects that are considered short-term, medium-term, and long-term responses.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States.
Genetic code expansion (GCE) technology has primarily been devoted to the introduction of noncanonical amino acids (ncAAs) into ribosomally synthesized proteins or peptides. Its potential for modifying nonribosomal natural products remains unexplored. In this study, we introduce a novel strategy that integrates GCE with the directed evolution of cyclodipeptide synthase (CDPS) to engineer a new class of CDPSs capable of biosynthesizing cyclodipeptides containing ncAAs.
View Article and Find Full Text PDFJCI Insight
September 2025
Ragon Institute of Mass General Brigham, Cambridge, United States of America.
Background: The SARS-CoV-2 virus has evolved subvariants since the emergence of the omicron variant in 2021. Whether these changes impact viral shedding and transmissibility is not known.
Methods: POSITIVES is a prospective longitudinal cohort of individuals with mild SARS-CoV-2 infection.
Bioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
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