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The self-assembly and phase separation of mixtures of polyelectrolytes and surfactants are important to a range of applications, from formulating personal care products to drug encapsulation. In contrast to systems of oppositely charged polyelectrolytes, in polyelectrolyte-surfactant systems the surfactants micellize into structures that are highly responsive to solution conditions. In this work, we examine how the morphology of micelles and degree of polyelectrolyte adsorption dynamically change upon varying the mixing ratio of charged and neutral surfactants. Specifically, we consider a solution of the cationic polyelectrolyte polydiallyldimethylammonium, anionic surfactant sodium dodecyl sulfate, neutral ethoxylated surfactants (C[Formula: see text]EO[Formula: see text]), sodium chloride salt, and water. To capture the chemical specificity of these species, we leverage recent developments in constructing molecularly informed field theories via coarse-graining from all-atom simulations. Our results show how changing the surfactant mixing ratios and the identity of the nonionic surfactant modulates micelle size and surface charge, and as a result dictates the degree of polyelectrolyte adsorption. These results are in semi-quantitative agreement with experimental observations on the same system.
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http://dx.doi.org/10.1140/epje/s10189-023-00332-4 | DOI Listing |
Nat Rev Cancer
September 2025
Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Neurotoxicity is a common and potentially severe adverse effect from conventional and novel cancer therapy. The mechanisms that underlie clinical symptoms of central and peripheral nervous system injury remain incompletely understood. For conventional cytotoxic chemotherapy or radiotherapy, direct toxicities to brain structures and neurovascular damage may result in myelin degradation and impaired neurogenesis, which eventually translates into delayed neurodegeneration accompanied by cognitive symptoms.
View Article and Find Full Text PDFDespite promising results in using deep learning to infer genetic features from histological whole-slide images (WSIs), no prior studies have specifically applied these methods to lung adenocarcinomas from subjects who have never smoked tobacco (NS-LUAD) - a molecularly and histologically distinct subset of lung cancer. Existing models have focused on LUAD from predominantly smoker populations, with limited molecular scope and variable performance. Here, we propose a customized deep convolutional neural network based on ResNet50 architecture, optimized for multilabel classification for NS-LUAD, enabling simultaneous prediction of 16 molecular alterations from a single H&E-stained WSI.
View Article and Find Full Text PDFJ Nanobiotechnology
September 2025
State Key Laboratory of Organic-Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
Conventional miRNA-based diagnostic methods often treat all biomarkers equally, overlooking the fact that each miRNA contributes differently to disease classification. This differential diagnostic importance is captured by the concept of Cancerous Diagnostic Valence (CDV)-a metric that quantifies both the direction (oncogenic or protective) and magnitude of each miRNA's association with cancer. Here, we introduce a polymerase-based DNA molecular computing system that directly encodes and integrates CDVs to perform weighted molecular classification of non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFActa Trop
August 2025
Grupo de Investigación Genética, Biodiversidad y Manejo de Ecosistemas (GEBIOME), Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, Calle 65 No 26-10 A.A 275, Manizales, Caldas, Colombia. Electronic address:
The tropical rainforest is one of the most biodiverse, productive, and complex terrestrial biomes in the world. Human-induced environmental changes increase the emergence and spread of vector-borne diseases. Ticks (Acari: Ixodida) are medically and veterinary important arthropods that infest a wide range of vertebrate hosts, including humans, and act as vectors of diverse pathogens, such as bacteria of the genus Rickettsia.
View Article and Find Full Text PDFMol Psychiatry
August 2025
Division of Depression and Anxiety Disorders, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA.
Alcohol seeking during abstinence is mediated in part by strong associations between the pharmacological effects of alcohol and the environment within which alcohol is administered. The amygdala, particularly the basolateral amygdala (BLA), is a key neural substrate of environmental cue and reward associations since it is involved in associative learning and memory recall. However, we still lack a clear understanding of how alcohol affects the activity of BLA neurons, which may encode information that drives environmental cue-dependent, alcohol-related behaviors.
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