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Functional interactions between muscle (satellite) stem cells-MuSCs-and other cellular components of their niche (the fibro-adipogenic progenitors-FAPs) coordinate regeneration of injured as well as diseased skeletal muscles. These interactions are largely mediated by secretory networks, whose integrity is critical to determine whether repair occurs by compensatory regeneration leading to formation of new contractile fibers, or by maladaptive formation of fibrotic scars and fat infiltration. Here we provide the description of methods for isolation of FAPs and MuSCs from muscles of wild type and dystrophic mice, and protocols of cocultures as well as MuSC's exposure to FAP- derived exosomes. These methods and protocols can be exploited in murine models of acute muscle injury to investigate salient features of physiological repair, and in models of muscular diseases to identify dysregulated networks that compromise functional interactions between cellular components of the regeneration environment during disease progression. We predict that exporting these procedures to patient-derived muscle samples will contribute to advance our understanding of human skeletal myogenesis and related disorders.
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http://dx.doi.org/10.1007/978-1-4939-7374-3_17 | DOI Listing |
J Neural Eng
December 2024
West China Hospital of Sichuan University, No.37 Guoxue Alley, Wuhou District, Chengdu City, Sichuan Province, Chengdu, Sichuan, 610041, CHINA.
Objective: Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, which makes it possible to become a new means of human-machine interaction. However, the performance of current EEG decoding methods is still insufficient for clinical applications because of inadequate EEG information extraction and limited computational resources in hospitals. This paper introduces a hybrid network that employs a Transformer with modified locally linear embedding and sliding window convolution for EEG decoding.
View Article and Find Full Text PDFJ Chem Theory Comput
December 2024
Materials and Process Simulation Center, California Institute of Technology, Pasadena, California 91125, United States.
Noncovalent interactions (NCI) play a central role in numerous physical, chemical, and biological phenomena. An accurate description of NCI is the key to success for any theoretical study in such areas. Although quantum mechanics (QM) methods such as dispersion-corrected density functional theory are sufficiently accurate, their applications are practical only for <300 atoms and <100 ps of simulation time.
View Article and Find Full Text PDFNucleic Acids Res
December 2024
IFOM ETS, The AIRC Institute of Molecular Oncology, Via Adamello 16, 16039 Milano, Italy.
SP140, a lymphocytic-restricted protein, is an epigenetic reader working as a corepressor of genes implicated in inflammation and orchestrating macrophage transcriptional programs to maintain cellular identity. Reduced SP140 expression is associated both to autoimmune diseases and blood cancers. However, the molecular mechanisms that link SP140 altered protein levels to detrimental effects on the immune response and cellular growth, as well as the interactors through which SP140 promotes gene silencing, remain elusive.
View Article and Find Full Text PDFThe increasing demand for controlling electromagnetic waves has led to the construction of a variety of metasurface absorbers with different functionalities. In this Letter, we designed a kind of single-layer metasurfaces with delicately designed hybrid magnetic meta-atoms (HMMAs), which can be operated as perfect absorbers (PAs) for the electromagnetic wave incident at a specified direction, but at the mirror symmetric direction, the nearly total reflection is achieved. This remarkable nonreciprocal phenomenon arises from the time-reversal symmetry (TRS) breaking nature of magnetic surface plasmon as well as the lattice Kerker effect due to the interaction of HMMAs in the single-layer metasurfaces.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Beijing Key Laboratory for Green Catalysis and Separation, Key Laboratory of Beijing on Regional Air Pollution Control, Key Laboratory of Advanced Functional Materials, Education Ministry of China, Laboratory of Catalysis Chemistry and Nanoscience, Department of Chemical Engineering and Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
Chlorinated and oxygenated volatile organic compounds (CVOCs and OVOCs) pose a significant threat to human health. Catalytic oxidation effectively removes these pollutants, but catalyst deactivation is a challenge. Our study focused on the hydrolysis oxidation of chlorobenzene (CB) and ethyl acetate (EA) over Ru/MO/HZSM-5 (M = W, Mo).
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