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The sodium leak channel NARROW ABDOMEN (NA)/ NALCN is an important component of circadian pacemaker neuronal output. In , rhythmic expression of the NA channel regulator in a subset of adult pacemaker neurons has been proposed to contribute to circadian regulation of channel localization or activity. Here we have restricted expression of NA channel subunits or the regulator to either development or adulthood using the temperature-inducible -GAL80 system. Surprisingly, we find that developmental expression of endogenous channel subunits and is sufficient to promote robust rhythmic behavior in adults. Moreover, we find that channel complex proteins produced during development persist in the head with little decay for at least 5-7 days in adults. In contrast, restricting either endogenous or transgenic gene expression to adult stages produces only limited amounts of the functional channel complex. These data indicate that much of the NA channel complex that functions in adult circadian neurons is normally produced during development, and that the channel complex is very stable in most neurons in the brain. Based on these findings, we propose that circadian regulation of NA channel function in adult pacemaker neurons is mediated primarily by post-translational mechanisms that are independent of
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http://dx.doi.org/10.3389/fncel.2017.00159 | DOI Listing |
Channels (Austin)
December 2025
Biorheology Research Laboratory, Faculty of Health, Griffith University, Gold Coast, Australia.
The hallmarks of mechanosensitive ion channels have been observed for half a century in various cell lines, although their mechanisms and molecular identities remained unknown until recently. Identification of the bona fide mammalian mechanosensory Piezo channels resulted in an explosion of research exploring the translation of mechanical cues into biochemical signals and dynamic cell morphology responses. One of the Piezo isoforms - Piezo1 - is integral in the erythrocyte (red blood cell; RBC) membrane.
View Article and Find Full Text PDFJ Phys Chem A
September 2025
Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York 14850, United States.
Ionic liquids (ILs) have been gaining increasing focus in a variety of applications including emerging electric-propulsion concepts. A quantitative understanding of how IL ions fragment during high-energy collisions with background gases is therefore essential for interpreting mass spectra, predicting ion lifetimes in plasma and vacuum environments, and designing IL-based technologies. This work uses molecular dynamics (MD) simulations with a reactive force field to numerically model the collision-induced dissociation (CID) of isolated ions (both positive and negative) and ion clusters (2:1 and 1:2 clusters) of the prototypical ionic liquid 1-ethyl-3-methylimidazolium tetrafluoroborate (EMIM-BF), colliding with a nitrogen (N) molecule, exploring all possible fragmentation channels arising from the breaking of both ionic and covalent bonds at collision energies ranging from 10 electron volts (eV) to 100 electron volts (eV) in the laboratory frame.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Epilepsy, a highly individualized neurological disorder, affects millions globally. Electroencephalography (EEG) remains the cornerstone for seizure diagnosis, yet manual interpretation is labor-intensive and often unreliable due to the complexity of multi-channel, high-dimensional data. Traditional machine learning models often struggle with overfitting and fail in fully capturing the highdimensional, temporal dynamics of EEG signals, restricting their clinical utility.
View Article and Find Full Text PDFFront Plant Sci
August 2025
College of Mathematics and Computer Science, Yan'an University, Yan'an, Shaanxi, China.
To address the challenge of real-time kiwifruit detection in trellised orchards, this paper proposes YOLOv10-Kiwi, a lightweight detection model optimized for resource-constrained devices. First, a more compact network is developed by adjusting the scaling factors of the YOLOv10n architecture. Second, to further reduce model complexity, a novel C2fDualHet module is proposed by integrating two consecutive Heterogeneous Kernel Convolution (HetConv) layers as a replacement for the traditional Bottleneck structure.
View Article and Find Full Text PDFMed Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
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