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Proper targeting of the βPAK-interacting exchange factor (βPIX)/G protein-coupled receptor kinase-interacting target protein (GIT) complex into distinct cellular compartments is essential for its diverse functions including neurite extension and synaptogenesis. However, the mechanism for translocation of this complex is still unknown. In the present study, we reported that the conventional kinesin, called kinesin-1, can transport the βPIX/GIT complex. Additionally, βPIX bind to KIF5A, a neuronal isoform of kinesin-1 heavy chain, but not KIF1 and KIF3. Mapping analysis revealed that the tail of KIF5s and LZ domain of βPIX were the respective binding domains. Silencing KIF5A or the expression of a variety of mutant forms of KIF5A inhibited βPIX targeting the neurite tips in PC12 cells. Furthermore, truncated mutants of βPIX without LZ domain did not interact with KIF5A, and were unable to target the neurite tips in PC12 cells. These results defined kinesin-1 as a motor protein of βPIX, and may provide new insights into βPIX/GIT complex-dependent neuronal pathophysiology. [BMB Reports 2021; 54(7): 380-385].
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http://dx.doi.org/10.5483/BMBRep.2021.54.7.061 | DOI Listing |
mBio
September 2025
School of Biological Sciences, University of Auckland, Auckland, New Zealand.
The rotation of the bacterial flagellum is powered by the MotAB stator complex, which converts ion flux into torque. Despite its central role in flagellar function, the evolutionary origin and structural diversity of this system remain poorly understood. Here, we present the first comprehensive phylogenetic and structural characterization of MotAB and its closest non-flagellar homologs.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
August 2025
Symmetric positive definite (SPD) matrices have been widely used as Riemannian feature descriptors in various scientific fields, due to their capacity to encode effective manifold-valued representations. Inspired by the architectural principles of Euclidean deep learning, the emerging SPD neural networks have achieved more robust signal classification. Among these advancements, Riemannian batch normalization (RBN) based on the affine-invariant Riemannian metric (AIRM) has emerged as a key technique for enhancing the learning capability of SPD-based networks.
View Article and Find Full Text PDFSci Rep
July 2025
Graduate School of Information Science and Technology, Osaka University, Suita, 565-0871, Japan.
Intelligent transportation systems (ITSs) significantly enhance traffic safety and management globally. A critical component of these systems is vehicle classification (VC), which supports vital applications such as congestion control, traffic monitoring, accident avoidance, etc. Traditional classification algorithms rely heavily on visual or sensor-based data (e.
View Article and Find Full Text PDFNeural Netw
October 2025
Polytechnic Institute, Zhejiang University, Hangzhou, 310015, Zhejiang, China.
Existing 3D object detection algorithms that fuse multi-modal sensor information typically operate in Cartesian coordinates, which can lead to asymmetrical feature information and uneven attention across multiple views. To address this, we propose PolarFusion, the first multi-modal fusion BEV object detection algorithm based on polar coordinates. We designed three specialized modules for this approach: the Polar Region Candidates Generation Module, the Polar Region Query Generation Module, and the Polar Region Information Fusion Module.
View Article and Find Full Text PDFInt J Pharm X
June 2025
Center of Drug Absorption and Transport, Department of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Felix-Hausdorff-Str. 3, 17489 Greifswald, Germany.
Fluid co-administered with oral medication directly affects its behaviour. Often, people use fluids other than water when taking their medications. Capsules (mainly gelatine- and HPMC-based) are widely used solid oral dosage forms.
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