The large multidomain GTPase dynamin self-assembles around the necks of deeply invaginated coated pits at the plasma membrane and catalyzes vesicle scission by mechanisms that are not yet completely understood. Although a structural role for the 'middle' domain in dynamin function has been suggested, it has not been experimentally established. Furthermore, it is not clear whether this putative function pertains to dynamin structure in the unassembled state or to its higher-order self-assembly or both. Here, we demonstrate that two mutations in this domain, R361S and R399A, disrupt the tetrameric structure of dynamin in the unassembled state and impair its ability to stably bind to and nucleate higher-order self-assembly on membranes. Consequently, these mutations also impair dynamin's assembly-dependent stimulated GTPase activity.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1783472 | PMC |
http://dx.doi.org/10.1038/sj.emboj.7601491 | DOI Listing |
ACS Omega
December 2024
Cellular Computational and Biology Department, CIBIO, Laboratory for Artificial Biology, University of Trento, Via Sommarive 9, Povo 38123, Italy.
Dynamic soft matter systems composed of functionalized vesicles and liposomes are typically produced and then manipulated through external means, including the addition of exogenous molecules. In biology, natural cells possess greater autonomy, as their internal states are continuously updated, enabling them to effect higher order properties of the system. Therefore, a conceptual and technical gap exists between the natural and artificial systems.
View Article and Find Full Text PDFbioRxiv
December 2024
TC Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD, 21218, USA.
Particle-based reaction-diffusion models offer a high-resolution alternative to the continuum reaction-diffusion approach, capturing the discrete and volume-excluding nature of molecules undergoing stochastic dynamics. These methods are thus uniquely capable of simulating explicit self-assembly of particles into higher-order structures like filaments, spherical cages, or heterogeneous macromolecular complexes, which are ubiquitous across living systems and in materials design. The disadvantage of these high-resolution methods is their increased computational cost.
View Article and Find Full Text PDFChem Sci
December 2024
Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces Am Mühlenberg 1 Potsdam 14476 Germany
Self-assembly is a powerful strategy for creating complex architectures and elucidating the aggregation behaviors of biopolymers. Herein, we investigate the hierarchical assembly of chitin using a approach based on synthetic oligosaccharides. We discovered that chitin oligosaccharides self-assemble into platelets, which then form higher-order structures.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology and School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214222, China.
Collagen self-assembly supports its mechanical function, but controlling collagen mimetic peptides (CMPs) to self-assemble into higher-order oligomers with numerous functions remains challenging due to the vast potential amino acid sequence space. Herein, we developed a diffusion model to learn features from different types of human collagens and generate CMPs; obtaining 66% of synthetic CMPs could self-assemble into triple helices. Triple-helical and untwisting states were probed by melting temperature (Tm); hence, we developed a model to predict collagen Tm, achieving a state-of-art Pearson's correlation (PC) of 0.
View Article and Find Full Text PDFSmall
December 2024
State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing, 100029, China.
Living organisms take in matter and energy from their surroundings, transforming these inputs into forms that cells can use to sustain metabolism and power various functions. A significant advancement in the development of protocells and life-like materials has been the creation of cell-like microcompartments capable of evolving into higher-order structures characterized by hierarchy and complexity. In this study, a smart emulsion system is designed to digests chemical substrates and generates organic or inorganic products, driving the self-organization and structuration of microcompartments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!