To examine the role of neural cell adhesion molecule L1 in thalamocortical projections, we analysed L1 deficient (L1-/y) mice. Immunohistochemistry of pleiotrophin/HB-GAM, a marker for thalamocortical axons and axonal tracing experiments showed that thalamocortical axons were abnormally and highly fasciculated when they pass through the developing internal capsule. Within the cortex, however, their course was more diffuse. The corticofugal fibres immunoreactive for TAG-1 were also more strongly fasciculated and their number was decreased in L1-/y mice. Furthermore, no TAG-1-positive corticofugal axons reached the dorsal thalamus. These data suggest that L1 plays an important role in the fasciculation and routing of axons connecting between the thalamus and the cortex.
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http://dx.doi.org/10.1016/j.neures.2003.12.011 | DOI Listing |
Clin Sci (Lond)
January 2025
Center for Interdisciplinary Research in Biology, College de France, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Apelin, a (neuro) vasoactive peptide, plays a prominent role in controlling water balance and cardiovascular functions. Apelin and its receptor co-localize with vasopressin in magnocellular vasopressinergic neurons. Apelin receptors (Apelin-Rs) are also expressed in the collecting ducts of the kidney, where vasopressin type 2 receptors are also present.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
University of Strathclyde, Institute of Photonics, SUPA Dept of Physics, Glasgow, United Kingdom.
We report a spiking flip-flop memory mechanism that allows controllably switching between neural-like excitable spike-firing and quiescent dynamics in a resonant tunneling diode (RTD) neuron under low-amplitude (<150 mV pulses) and high-speed (ns rate) inputs pulses. We also show that the timing of the set-reset input pulses is critical to elicit switching responses between spiking and quiescent regimes in the system. The demonstrated flip-flop spiking memory, in which spiking regimes can be controllably excited, stored, and inhibited in RTD neurons via specific low-amplitude, high-speed signals (delivered at proper time instants) offers high promise for RTD-based spiking neural networks, with the potential to be extended further to optoelectronic implementations where RTD neurons and RTD memory elements are deployed alongside for fast and efficient photonic-electronic neuromorphic computing and artificial intelligence hardware.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Shanghai Jiao Tong University, School of Physics and Astronomy, Institute of Natural Sciences, Shanghai 200240, China.
Cell layers are often categorized as contractile or extensile active, nematics but recent experiments on neural progenitor cells with induced +1 topological defects challenge this classification. In a bottom-up approach, we first study a relevant particle-level model and then analyze a continuum theory derived from it. We show that both model and theory account qualitatively for the main experimental result, i.
View Article and Find Full Text PDFJ Vis Exp
January 2025
Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Henry and Allison McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Harvard Medical School;
A method to quantitate the stabilization of Mitochondria-Associated endoplasmic reticulum Membranes (MAMs) in a 3-dimensional (3D) neural model of Alzheimer's disease (AD) is presented here. To begin, fresh human neuro progenitor ReN cells expressing β-amyloid precursor protein (APP) containing familial Alzheimer's disease (FAD) or naïve ReN cells are grown in thin (1:100) Matrigel-coated tissue culture plates. After the cells reach confluency, these are electroporated with expression plasmids encoding red fluorescence protein (RFP)-conjugated mitochondria-binding sequence of AKAP1(34-63) (Mito-RFP) that detects mitochondria or constitutive MAM stabilizers MAM 1X or MAM 9X that stabilize tight (6 nm ± 1 nm gap width) or loose (24 nm ± 3 nm gap width) MAMs, respectively.
View Article and Find Full Text PDFBioinformatics
January 2025
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Sichuan 611756, China.
Motivation: The rapid development of single-cell RNA sequencing (scRNA-seq) has significantly advanced biomedical research. Clustering analysis, crucial for scRNA-seq data, faces challenges including data sparsity, high dimensionality, and variable gene expressions. Better low-dimensional embeddings for these complex data should maintain intrinsic information while making similar data close and dissimilar data distant.
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