Results 61 to 70 of about 115,731 (294)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Flagellar membrane association via interaction with lipid rafts [PDF]
The eukaryotic flagellar membrane has a distinct composition from other domains of the plasmalemma. Our work shows that the specialized composition of the trypanosome flagellar membrane reflects increased concentrations of sterols and saturated fatty ...
Cieslak, John A. +6 more
core +2 more sources
Microneedle‐Based Biofertilizer Delivery Improves Plant Growth Through Microbiome Engineering
This figure shows how microneedles are used to deliver biofertilizers to enhance plant growth through microbial migration, metabolic reprogramming, and changes in plant endogenous microbiome. Abstract This study presents a microneedle‐based system for the delivery of rhizospheric biofertilizers into plant tissues to enhance growth.
Zhicheng Le +14 more
wiley +1 more source
Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee +9 more
wiley +1 more source
Nuclear magnetic resonance and infrared spectra of Δ24- and C-24 saturated steroids
The infrared (IR) and nuclear magnetic resonance (NMR) spectra of eight Δ24-steroids and nine C-24 saturated steroids were examined. NMR spectra allow unambiguous assignment of the biologically important Δ24-bond; introduction of a Δ24-bond causes the ...
Terence J. Scallen, William Krueger
doaj +1 more source
Structural and Functional Characterization of EXPO‐Derived Extracellular Vesicles in Plants
In this study, 3D electron tomography (ET), cryo‐ET, and immunogold transmission electron microscopy (TEM) are employed to characterize plant extracellular vesicles (EVs) under physiological conditions. EVs are classified into three distinct categories according to their size, content, and molecular‐marker profiles. Furthermore, Exo70E2‐positive medium
Jiayang Gao +12 more
wiley +1 more source
Particulate matter ≤2.5 µm (PM2.5) elevates risks of neurological and chronic metabolic diseases, but the underlying mechanisms linking PM2.5‐induced central nervous system (CNS) injury to metabolic dysfunction remain unclear. Hypothalamic pro‐opiomelanocortin‐expressing (POMC+) neurons regulate systemic metabolic homeostasis, and tripartite motif ...
Chenxu Ge +21 more
wiley +1 more source
Chemical characterization of organic and non-organic virgin olive oils
Organic food products have shown to have lower environmental impact and lower presence of chemical residues. Consumers generally have positive attitudes towards organic food because of superior taste, environment-friendliness, health,
García-González Diego Luis +2 more
doaj +1 more source
The zinc cluster proteins Upc2 and Ecm22 promote filamentation in Saccharomyces cerevisiae by sterol biosynthesis-dependent and -independent pathways. [PDF]
The transition between a unicellular yeast form to multicellular filaments is crucial for budding yeast foraging and the pathogenesis of many fungal pathogens such as Candida albicans.
Höfken, T, Woods, K
core +1 more source
NAD⁺ homeostasis maintains neuronal integrity through opposing actions of NMNAT2 and SARM1. Loss of NMNAT2 in glutamatergic neurons reprograms cortical metabolism from glucose to lipid catabolism, depletes lipid stores, and triggers inflammation and neurodegeneration.
Zhen‐Xian Niou +9 more
wiley +1 more source

