The purpose of this study was to identify the functional significance of the binding of soluble CD14 (sCD14) to bacterial peptidoglycan (PGN) and to compare the structural requirements of sCD14 for the binding to PGN and lipopolysaccharide (LPS) and for sCD14-mediated enhancement of PGN- and LPS-induced cell responses. sCD14 did not facilitate the responses of membrane CD14 (mCD14)-negative pre-B 70Z/3 cells to PGN, although it facilitated the responses of these cells to LPS and although mCD14 facilitated the responses of 70Z/3 cells to PGN. sCD14 enhanced mCD14-mediated cell activation by both PGN and LPS, but only the responses to LPS, and not to PGN, were enhanced by LPS-binding protein. Four 4- or 5-amino-acid-long sequences within the 65-amino-acid N-terminal region of sCD14 were needed for binding to both PGN and LPS and for enhancement of cell activation by both PGN and LPS. However, deletions of individual sequences had different effects on the ability of sCD14 to bind to PGN and to LPS and on the ability to enhance the responses to PGN and to LPS. Thus, there are different structural requirements of sCD14 for binding to PGN and to LPS and for the enhancement of PGN- and LPS-induced cell activation.
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http://dx.doi.org/10.1128/IAI.68.9.5254-5260.2000 | DOI Listing |
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Department of Pharmacological and Biomolecular Sciences, "Rodolfo Paoletti", via Balzaretti 9 - Università degli Studi di Milano, 20133 Milano, Italy. Electronic address:
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Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, No. 88 East Wenhua Road, Jinan, 250014, China.
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Laboratory of Marine Biology Protein Engineering, Marine Science and Technical College, Zhejiang Ocean University, Zhoushan City, 316022, Zhejiang, China. Electronic address:
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February 2025
Qatar Computing Research Institute, Qatar Center for Artificial Intelligence, Hamad Bin Khalifa University, Qatar.
Unlabelled: To classify raw SERS Raman spectra from biological materials, we propose , a new architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation approach. Unlike standard machine learning approaches such as PCA, LDA, SVM, RF, GBM etc, functions independently, requiring no human interaction, and can be used to much smaller datasets than traditional CNNs. Performance of DeepRaman on 14 endotoxins bacteria and on a public data achieved an extraordinary accuracy of 99 percent.
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Université de Lorraine, INRAE, LSE, Nancy 54000, France.
Imidacloprid and amitraz, two common pesticides, affect honeybee health, behavior, and pathogen resistance. Understanding multi-risk exposures is vital to explaining their role in hive performance decline and colony health. This study assessed antioxidant system genes to evaluate pesticide impacts on immune response and enzymes responsible for hydrogen peroxide (H₂O₂) production.
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