In the bloodstream of mammalian hosts, African trypanosomes face the challenge of protecting their invariant surface receptors from immune detection. This crucial role is fulfilled by a dense, glycosylated protein layer composed of variant surface glycoproteins (VSGs), which undergo antigenic variation and provide a physical barrier that shields the underlying invariant surface glycoproteins (ISGs). The protective shield's limited permeability comes at the cost of restricted access to the extracellular host environment, raising questions regarding the specific function of the ISG repertoire. In this study, we employ an integrative structural biology approach to show that intrinsically disordered membrane-proximal regions are a common feature of members of the ISG super-family, conferring the ability to switch between compact and elongated conformers. While the folded, membrane-distal ectodomain is buried within the VSG layer for compact conformers, their elongated counterparts would enable the extension beyond it. This dynamic behavior enables ISGs to maintain a low immunogenic footprint while still allowing them to engage with the host environment when necessary. Our findings add further evidence to a dynamic molecular organization of trypanosome surface antigens wherein intrinsic disorder underpins the characteristics of a highly flexible ISG proteome to circumvent the constraints imposed by the VSG coat.
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http://dx.doi.org/10.1371/journal.ppat.1012186 | DOI Listing |
Aesthetic Plast Surg
December 2024
School of Public Health, Shandong Second Medical University, 7166 Baotong West Street, Weifang, Shandong, China.
Background: Studies on acceptance of cosmetic surgery may not be cross-culturally invariant, but little is known about it in non-Western populations. Therefore, it is necessary to develop cross-cultural research on it.
Methods: 230 international students in China aged 18-27 years (M = 21.
Phys Rev Lett
December 2024
GISC, Departamento de Matemáticas, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain.
Recent studies of wetting in a two-component square-gradient model of interfaces in a fluid mixture, showing three-phase bulk coexistence, have revealed some highly surprising features. Numerical results show that the density profile paths, which form a tricuspid shape in the density plane, have curious geometric properties, while conjectures for the analytical form of the surface tensions imply that nonwetting may persist up to the critical end points, contrary to the usual expectation of critical point wetting. Here, we solve the model exactly and show that the profile paths are conformally invariant quartic algebraic curves that change genus at the wetting transition.
View Article and Find Full Text PDFAppl Psychol Meas
December 2024
Umeå University, Sweden.
Modifications of current psychometric models for analyzing test data are proposed that produce an additive scale measure of information. This information measure is a one-dimensional space curve or curved surface manifold that is invariant across varying manifold indexing systems. The arc length along a curve manifold is used as it is an additive metric having a defined zero and a version of the bit as a unit.
View Article and Find Full Text PDFCell Mol Life Sci
December 2024
Department of Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
ENPP1/CD203a is a membrane-bound ectonucleotidase capable of hydrolyzing ATP, cGAMP and other substrates. Its enzymatic activity plays an important role in the balance of extracellular adenine nucleotides and the modulation of purinergic signaling, in soft tissue calcification, and in the regulation of the cGAS/STING pathway. However, a detailed analysis of ENPP1 surface expression on human immune cells has not been performed.
View Article and Find Full Text PDFJ Phys Chem Lett
December 2024
Collaborative Innovation Center of Chemistry for Energy Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, MOE Key Laboratory of Computational Physical Sciences, Department of Chemistry, Fudan University, Shanghai 200438, China.
Neural network models excel in molecular property predictions but often struggle with generalizing from smaller to larger molecules due to increased structural diversity and complex interactions. To address this, we introduce an E(3) invariant (and equivariant capable) message passing graph neural network (GNN), namely, X2-GNN, that integrates physical insights via atomic orbital overlap integrals and core Hamiltonians. These features provide essential information about bond strength, electron delocalization, and many-body interactions, enhanced by an attention mechanism for improved learning efficiency.
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