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Neuropeptide S (NPS) is an endogenous peptide recently recognized to be presented in the brainstem and believed to play an important role in maintaining memory. The deletion of NPS or NPS receptor (NPSR) in mice shows a deficit in memory formation. Our recent studies have demonstrated that central administration of NPS facilitates olfactory function and ameliorates olfactory spatial memory impairment induced by muscarinic cholinergic receptor antagonist and N-methyl-D-aspartate receptor antagonist. However, it remains to be determined if endogenous NPS is an indispensable neuromodulator in the control of the olfactory spatial memory. In this study, we examined the effects of NPSR peptidergic antagonist [D-Val5]NPS (10 and 20 nmol, intracerebroventricular) and nonpeptidergic antagonist SHA 68 (10 and 50 mg/kg, intraperitoneal) on the olfactory spatial memory using computer-assisted 4-hole-board olfactory spatial memory test in mice. Furthermore, immunofluorescence was employed to identify the distributions of c-Fos and NPSR immunoreactive (-ir) neurons in olfactory system and hippocampal formation known to closely relate to the olfactory spatial memory. [D-Val5]NPS dosing at 20 nmol and SHA 68 dosing at 50 mg/kg significantly decreased the number of visits to the 2 odorants interchanged spatially, switched odorants, in recall trial, and simultaneously reduced the percentage of Fos-ir in NPSR-ir neurons, which were densely distributed in the anterior olfactory nucleus, piriform cortex, subiculum, presubiculum, and parasubiculum. These findings suggest that endogenous NPS is a key neuromodulator in olfactory spatial memory.
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http://dx.doi.org/10.1093/chemse/bjaa003 | DOI Listing |
NAR Genom Bioinform
September 2025
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518005 Guangdong, China.
Single-cell RNA sequencing (scRNA-seq) has significantly deepened our understanding of cellular heterogeneity and cell type interactions, providing insights into how cell populations adapt to environmental variability. However, its lack of spatial context limits intercellular analysis. Similarly, existing spatial transcriptomics (ST) data often lack single-cell resolution, restricting cellular mapping.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Biological Sciences, Columbia University, New York, NY, USA.
In the developing cerebral cortex, Cajal Retzius (CR) cells are early-born neurons that orchestrate the development of mammalian-specific cortical features. However, this cell type has not been conclusively identified in non-mammalian species. Here we studied neurons expressing , a transcription factor specifically expressed in most mammalian CR cells.
View Article and Find Full Text PDFEur J Neurosci
August 2025
Department of History and Philosophy of Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
This paper reevaluates the conventional topographic model of brain function, stressing the critical role of philosophical inquiry in neuroscience. Since the 1930s, pioneering studies by Penfield and subsequent advancements in visual neuroscience by Hubel and Wiesel have popularized the concept of cortical maps as representations of external and internal states. Yet contemporary research in various sensory systems, including visual cortices in certain animals, questions the universal applicability of this model.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
Changchun Satellite Observation Station, National Astronomical Observatories, Chinese Academy of Sciences, Changchun 130117, China.
A miniaturised bionic electronic nose system was developed to solve the problems of expensive equipment and long response time for soil pesticide residue detection. The structure of the bionic electronic nasal cavity is designed based on the spatial structure and olfactory principle of the sturgeon nasal cavity. Through experimental study, the structure of the nasal cavity of the sturgeon was extracted and analyzed.
View Article and Find Full Text PDFNucleic Acids Res
August 2025
Department of Computer Science, City University of Hong Kong, 83 Tat Chee Ave, Kowloon Tong, 999077, Hong Kong.
Spatial trajectory inference models cell differentiation and state dynamics within tissues by integrating spatial information. Existing spatial trajectory inference methods depend on similarity-based cell graphs constructed from spatial proximity, with less attention to the Markovian property in cell state transitions. In this study, we introduce CASCAT, a tree-shaped structural causal model with the Markovian property integrated to infer a unique cell differentiation trajectory, addressing challenges posed by Markov equivalence in high-dimensional and nonlinear data.
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