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MicroRNAs (miRNAs) act as cellular signal transducers through repression of protein translation. Elucidating targets using bioinformatics and traditional quantitation methods is often insufficient to uncover global miRNA function. Herein, alteration of protein function caused by miRNA-185 (miR-185), an immunometabolic miRNA, was determined using activity-based protein profiling, transcriptomics, and lipidomics. Fluorophosphonate-based activity-based protein profiling of miR-185-induced changes to human liver cells revealed that exclusively metabolic serine hydrolase enzymes were regulated in activity, some with roles in lipid and endocannabinoid metabolism. Lipidomic analysis linked enzymatic changes to levels of cellular lipid species, such as components of very-low-density lipoprotein particles. Additionally, inhibition of one miR-185 target, monoglyceride lipase, led to decreased hepatitis C virus levels in an infectious model. Overall, the approaches used here were able to identify key functional changes in serine hydrolases caused by miR-185 that are targetable pharmacologically, such that a small molecule inhibitor can recapitulate the miRNA phenotype.
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http://dx.doi.org/10.1016/j.chembiol.2020.12.009 | DOI Listing |
Cell Chem Biol
September 2025
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pathology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China; Centre for Oncology and Im
RhoA is a key cancer driver and potential colorectal cancer (CRC) therapy target but remains undrugged clinically. Using activity-based protein profiling (ABPP) and mass spectrometry (MS), we identified CL16, a covalent inhibitor targeting the unique Cys16 on RhoA subfamily, which confers high specificity over other Rho family proteins. Cys16 is adjacent to the nucleotide-binding pocket and switch regions, which are critical for RhoA function.
View Article and Find Full Text PDFCurr Pharm Des
August 2025
Department of Food Science, National Taiwan Ocean University, Keelung 202, Taiwan.
Introduction: Traditional Chinese Medicine (TCM) employs various processing methods to enhance the bioactivity of herbs. Rheum palmatum (R. palmatum) is commonly processed to optimize its medicinal properties, yet its antibacterial activity under different processing techniques remains unclear.
View Article and Find Full Text PDFBioorg Chem
August 2025
State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Shandong University, Jinan 250012, China.
Mesua ferrea L., a medicinal plant widely utilized in traditional Chinese and South Asia medicine, demonstrates diverse pharmacological activities, with particularly notable anti-cancer properties. However, the specific bioactive constituents responsible for these effects and their underlying mechanisms remain unclear.
View Article and Find Full Text PDFJACS Au
August 2025
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
Rapid, accurate, and accessible diagnostics for pathogenic infections are of vital importance for the prevention of disease transmission and mitigation of future pandemics. Biosensors employing the CRISPR nuclease Cas13 have enabled robust detection of viral RNA. However, existing Cas13-based diagnostics primarily utilize fluorescent or lateral flow assay (LFA) readouts, impeding detection in complex sample media.
View Article and Find Full Text PDFPharmaceuticals (Basel)
August 2025
Guangxi Key Laboratory of TCM Formulas Theory and Transformation for Damp Diseases, Guangxi University of Chinese Medicine, Nanning 530000, China.
Hepatocellular carcinoma is one of the leading causes of cancer-related deaths worldwide. Its high recurrence rate and limited treatment options underscore the urgent need for the development of new and highly effective drugs. : This study systematically explores the molecular mechanism of cinnamic acid against hepatocellular carcinoma through integrated machine learning prediction, network pharmacological analysis and in vitro experimental verification.
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