Browse Articles

Numerical simulation of gas explosion law and determination of safe thickness of blocking wall after auxiliary tunnel blocking

A cohort study of prolactin and non-puerperal mastitis using real world data

Disintegration of commercial biodegradable plastic products under simulated industrial composting conditions

FPGA implementation of a complete digital spiking silicon neuron for circuit design and network approach

Endorsing voice behavior can be as devastating as rejecting it when the endorsement is laced with a hint of anger

Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises

Considerations for repetitive intrathecal procedures in long-term nusinersen treatment for non-ambulatory spinal muscular atrophy

Retraction Note: Experimental and TDDFT materials simulation of thermal characteristics and entropy optimized of Williamson Cu-methanol and Al2O3-methanol nanofluid flowing through solar collector

Novel technique for precise derating torque of induction motors using ANFIS

In silico development of HASDI-G2 as a novel agent for selective recognition of the DNA sequence

Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction

Numerical and experimental study of the effect of an edge crack on the vibration characteristics of UD and quasi-isotropic GFRP cantilever composite beam

Predicting hepatic steatosis degree in metabolic dysfunction-associated steatotic liver disease using obesity and lipid-related indices

Characterization of the two-dimensional length and diameter distributions of gold nanorods by size exclusion chromatography

Abstract Access to complex multidimensional property distributions of nanoparticle systems is indispensable for the understanding of their synthesis, processing and application in modern production technologies. Plasmonic gold nanorods are a system of particular interest due to their shape-dependent localized surface plasmon resonance. In this study, we show how the optical back coupling technique, previously developed for the analysis of sedimentation coefficient-resolved extinction spectra derived from analytical ultracentrifugation experiments, can be transferred to standard laboratory equipment, namely size exclusion chromatography. The optical back coupling method utilizes the unique spectral extinction of plasmonic nanoparticles such as gold nanorods and other geometries combined with their hydrodynamic properties to determine full size and shape distributions. Our technique opens up a simple and easy-to-use characterization platform that requires very little sample volume and provides multidimensional access to length, diameter, aspect ratio, volume and surface area distributions of plasmonic nanoparticles in one single experiment. We characterize a variety of gold nanorods of different aspect ratios and validate our results by complementary scanning transmission electron microscopy experiments. Finally, we provide an outlook on how this approach can be developed further.

Functional reconstitution of plant plasma membrane H+-ATPase into giant unilamellar vesicles

Abstract Membrane transporters are essential for numerous biological processes by controlling the movement of ions and molecules across cell membranes. However, dissecting their molecular dynamics in complex cellular environments presents significant challenges. Reconstitution of membrane transporters in model systems offers a powerful solution. In this study, we focused on the reconstitution conditions suitable for the P3 ATPase Arabidopsis thaliana H+-ATPase isoform 2 and compatible with various giant unilamellar vesicle generation techniques. Among the methods evaluated for GUV formation, including electroformation, gel-assisted formation, and charge-mediated fusion, only the gel-assisted approach successfully generated AHA2-containing giant unilamellar vesicles while preserving the pump activity. Our findings underscore the importance of carefully managing the reconstitution conditions, including the presence of ions, and selecting the appropriate lipid composition to enhance the stability and activity of AHA2 in proteoliposomes. Addressing these factors is essential for the successful formation and functional analysis of AHA2 and other P-type ATPases in experimental settings.

Enhancing Electron Donor–Acceptor Complex Photoactivation with a Stable Perylene Diimide Metal–Organic Framework

Cytotoxicity and antibacterial activity of polyhedral oligomeric silsesquioxane modified Ti3C2Tx MXene films

Graphene metasurfaces biosensor for COVID-19 detection in the infra-red regime

ABO blood group system correlates with preoperative serum PSA level in patients with prostate cancer

Pathway level metabolomics analysis identifies carbon metabolism as a key factor of incident hypertension in the Estonian Biobank

Abstract The purpose of this study was to find metabolic changes associated with incident hypertension in the volunteer-based Estonian Biobank. We used a subcohort of the Estonian Biobank where metabolite levels had been measured by mass-spectrometry (LC-MS, Metabolon platform). We divided annotated metabolites of 989 individuals into KEGG pathways, followed by principal component analysis of metabolites in each pathway, resulting in a dataset of 91 pathway components. Next, we defined incident hypertension cases and controls based on electronic health records, resulting in a dataset of 101 incident hypertension cases and 450 controls. We used Cox proportional hazards models and replicated the results in a separate cohort of the Estonian Biobank, assayed with LC-MS dataset of the Broad platform and including 582 individuals. Our results show that body mass index and a component of the carbon metabolism KEGG pathway are associated with incident hypertension in both discovery and replication cohorts. We demonstrate that a high-dimensional dataset can be meaningfully reduced into informative pathway components that can subsequently be analysed in an interpretable way, and replicated in a metabolomics dataset from a different platform.