Pentraxin-3 (PTX3) is a multifunctional pattern-recognition molecule that is essential for immune defense, pathogen recognition, and complement activation. PTX3 is stored as a monomer in neutrophil granules, and assembles into higher-order oligomers upon immune activation, thereby enhancing its antimicrobial function. The mechanism underlying this assembly remains elusive. In this study, we employed cryo-electron microscopy to resolve multiple high-resolution structures of PTX3 in octameric and tetrameric forms, as well as medium-resolution structures in dimeric and hexameric forms. Structural analysis revealed that PTX3 oligomerization is driven by dimeric units stabilized by C-terminal interchain disulfide bonds, and the N-terminal disulfide bonds facilitate further assembly into larger oligomers. This hierarchical assembly is crucial for the activation of the classical complement pathway. These findings offer critical insights into the assembly mechanisms and structural complexity of PTX3 and pave the way for novel therapeutic developments targeting PTX3.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijbiomac.2024.139207 | DOI Listing |
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFDevelopment
January 2025
School of Science, Technische Universität Dresden, 01062 Dresden, Germany.
The elongation of tissues and organs is important for proper morphogenesis in animal development. In Drosophila ovaries, the elongation of egg chambers involves aligned Collagen IV fiber-like structures, a gradient of extracellular matrix stiffness and actin-based protrusion-driven collective cell migration, leading to the rotation of the egg chamber. Egg chamber elongation and rotation depend on the atypical cadherin Fat2.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Institute for Electrochemical Energy Storage (CE-IEES), Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner-Platz 1, 14109, Berlin, Germany.
Sn-based electrodes are promising candidates for next-generation lithium-ion batteries. However, it suffers from deleterious micro-structural deformation as it undergoes drastic volume changes upon lithium insertion and extraction. Progress in designing these materials is limited to complex structures.
View Article and Find Full Text PDFInorg Chem
January 2025
Department of Chemistry, University of Patras, Patras 265 04, Greece.
A new [DyBiOCl(saph)] () Werner-type cluster has been prepared, which is the first Dy/Bi polynuclear compound with no metal-metal bond and one of the very few Ln-Bi (Ln = lanthanide) heterometallic complexes reported to date. The molecular compound has been deliberately transformed to its 1-D analogue [DyBiO(N)(saph)] () via the replacement of the terminal Cl ions by end-to-end bridging N groups. The overall metallic skeleton of (and ) can be described as consisting of a diamagnetic {Bi} unit with an elongated trigonal bipyramidal topology, surrounded by a magnetic {Dy} equilateral triangle, which does not contain μ-oxo/hydroxo/alkoxo groups.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Biomedical Informatics, University of Colorado Anschutz School of Medicine, Aurora, Colorado, United States of America.
While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. This creates a situation where we have deep cellular profiles of one sample or condition, and bulk profiles across multiple samples and conditions. To bridge this gap, we propose BuDDI (BUlk Deconvolution with Domain Invariance).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!