Here, we use a cell surface thrombin cleavage assay to investigate directly the role of NSF in the surface delivery and synaptic accumulation of alpha-amino-3-hydroxy-5-methylisoxazolepropionate (AMPA) receptors. In cultured hippocampal neurons, the GluR2 subunit (which specifically interacts with NSF) inserts rapidly into the plasma membrane from intracellular compartments and accumulates in synaptic sites. In contrast, surface accumulation of GluR3 (a subunit that does not interact with NSF) or a GluR2 mutant defective in NSF binding (DeltaA849-Q853) occurs initially at extrasynaptic sites and is kinetically slower than wild-type GluR2. Introducing a binding site for NSF into GluR3 (GluR3NSF) generates a subunit that behaves like GluR2 in terms of kinetics and site of surface insertion. These data suggest that the NSF interaction is necessary for rapid incorporation of AMPA receptor subunits into synapses and is sufficient to confer this property on GluR3.
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http://dx.doi.org/10.1016/j.mcn.2004.11.008 | DOI Listing |
Plants (Basel)
January 2025
Department of Biological Sciences, Binghamton University, Binghamton, NY 13902, USA.
The breadth and depth of plant leaf metabolomes have been implicated in key interactions with plant enemies aboveground. In particular, divergence in plant species chemical composition-amongst neighbors, relatives, or both-is often suggested as a means of escape from insect herbivore enemies. Plants also experience strong pressure from enemies such as belowground pathogens; however, little work has been carried out to examine the evolutionary trajectories of species' specialized chemistries in both roots and leaves.
View Article and Find Full Text PDFNat Protoc
January 2025
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Cell-matrix interactions, mediated by cellular force and matrix remodeling, result in dynamic reciprocity that drives numerous biological processes and disease progression. Currently, there is no available method for directly quantifying cell traction force and matrix remodeling in three-dimensional matrices as a function of time. To address this long-standing need, we developed a high-resolution microfabricated device that enables longitudinal measurement of cell force, matrix stiffness and the application of mechanical stimulation (tension or compression) to cells.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Chemical Engineering, Stanford University, Stanford, CA 94305.
The crowded bacterial cytoplasm is composed of biomolecules that span several orders of magnitude in size and electrical charge. This complexity has been proposed as the source of the rich spatial organization and apparent anomalous diffusion of intracellular components, although this has not been tested directly. Here, we use biplane microscopy to track the 3D motion of self-assembled bacterial genetically encoded multimeric nanoparticles (bGEMs) with tunable size (20 to 50 nm) and charge (-3,240 to +2,700 e) in live cells.
View Article and Find Full Text PDFSmall
January 2025
Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, 100875, P. R. China.
Establishing the relationship between catalytic performance and material structure is crucial for developing design principles for highly active catalysts. Herein, a type of perovskite fluoride, NHMnF, which owns strong-field coordination including fluorine and ammonia, is in situ grown on carbon nanotubes (CNTs) and used as a model structure to study and improve the intrinsic catalytic activity through heteroatom doping strategies. This approach optimizes spin-dependent orbital interactions to alter the charge transfer between the catalyst and reactants.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Bioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th 10 St, Miami, 33199, USA.
Background: While protein-protein docking is fundamental to our understanding of how proteins interact, scoring protein-protein complex conformations is a critical component of successful docking programs. Without accurate and efficient scoring functions to differentiate between native and non-native binding complexes, the accuracy of current docking tools cannot be guaranteed. Although many innovative scoring functions have been proposed, a good scoring function for docking remains elusive.
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