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Dynamic molecular clusters are assembled through weak multivalent interactions and are platforms for cellular functions, especially receptor-mediated signaling. Clustering is also a prerequisite for liquid-liquid phase separation. It is not well understood, however, how molecular structure and cellular organization control clustering. Using coarse-grained kinetic Langevin dynamics, we performed computational experiments on a prototypical ternary system modeled after membrane-bound nephrin, the adaptor Nck1, and the actin nucleation promoting factor NWASP. Steady-state cluster size distributions favored stoichiometries that optimized binding (stoichiometry matching) but still were quite broad. At high concentrations, the system can be driven beyond the saturation boundary such that cluster size is limited only by the number of available molecules. This behavior would be predictive of phase separation. Domains close to binding sites sterically inhibited clustering much less than terminal domains because the latter effectively restrict access to the cluster interior. Increased flexibility of interacting molecules diminished clustering by shielding binding sites within compact conformations. Membrane association of nephrin increased the cluster size distribution in a density-dependent manner. These properties provide insights into how molecular ensembles function to localize and amplify cell signaling.
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http://dx.doi.org/10.1016/j.bpj.2019.01.001 | DOI Listing |
J Phys Chem A
September 2025
Department of Basic Science, School of Arts and Sciences, The University of Tokyo, Komaba, Meguro, Tokyo 153-8902, Japan.
Desorption processes of HO molecules from AlO(HO) ( = 3, 5, 7) and AlO(HO)H ( = 4, 6, 8) clusters were investigated using gas-phase thermal desorption spectrometry to evaluate the HO storage capacity and mechanisms of aluminum oxide clusters. The clusters stored approximately 10 HO molecules at ∼300 K, depending on the size (), and released them upon heating. Even after heating to ∼1000 K, 2-4 HO molecules remained bound.
View Article and Find Full Text PDFMicrob Genom
September 2025
International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK.
High rates of mortality of the common cockle, , have occurred in the Wash Estuary, UK, since 2008. A previous study linked the mortalities to a novel genotype of , with a strong correlation between cockle moribundity and the presence of . Here, we characterize a novel iridovirus, identified by chance during metagenomic sequencing of a gradient purification of cells, with the presence also correlated to cockle moribundity.
View Article and Find Full Text PDFPLoS One
September 2025
School of Animal and Comparative Biomedical Sciences, College of Agriculture and Life Sciences, University of Arizona, Tucson, Arizona, United States of America.
The Gram-negative bacterium Campylobacter jejuni is part of the commensal gut microbiota of numerous animal species and a leading cause of bacterial foodborne illness in humans. Most complete genomes of C. jejuni are from strains isolated from human clinical, poultry, and ruminant samples.
View Article and Find Full Text PDFCurr Genet
September 2025
Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu-Tawi, 180001, India.
Trichoderma species exhibit remarkable versatility in adaptability and in occupying habitats with lifestyles ranging from mycoparasitism and saprotrophy to endophytism. In this study, we present the first high-quality whole-genome assembly and annotation of T. lixii using Illumina HiSeq technology to explore the mechanisms of endophytic lifestyle and plant colonization.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, No. 100 Waihuanxi Road, Guangzhou 510006, China.
The 5' untranslated region (5'UTR) plays a crucial regulatory role in messenger RNA (mRNA), with modified 5'UTRs extensively utilized in vaccine production, gene therapy, etc. Nevertheless, manually optimizing 5'UTRs may encounter difficulties in balancing the effects of various cis-elements. Consequently, multiple 5'UTR libraries have been created, and machine learning models have been employed to analyze and predict translation efficiency (TE) and protein expression, providing insights into critical regulatory features.
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