研究目的
To develop a mitochondria-targeting near-infrared fluorescent probe for the in situ real-time detection of HNO generation from the crosstalk between H2S and NO in cells and animals, and to investigate the anti-inflammatory effects of HNO.
研究成果
Mito-JN is an effective NIR fluorescent probe for detecting HNO with high selectivity and sensitivity. It confirms HNO generation from H2S/NO crosstalk in mitochondria and demonstrates anti-inflammatory effects in cell and rat models, suggesting potential therapeutic applications for inflammation.
研究不足
The probe may have limitations in specificity under extreme biological conditions; in vivo applications are constrained by tissue penetration depth and potential background fluorescence. Optimization is needed for broader biological contexts.
1:Experimental Design and Method Selection:
Designed and synthesized the probe Mito-JN based on Aza-BODIPY fluorophore, triphenylphosphonium cation for mitochondria targeting, and diphenylphosphinobenzoyl group for HNO response. Used fluorescence spectroscopy, confocal microscopy, flow cytometry, and in vivo imaging.
2:Sample Selection and Data Sources:
Used cell lines (RAW
3:7, U87, BV-2) and animal models (BALB/c mice, Sprague-Dawley rats). Data acquired from fluorescence measurements and biological assays. List of Experimental Equipment and Materials:
2 Spectrophotometer, confocal microscope, flow cytometer, in vivo imaging system (PerkinElmer IVIS Lumina XRMS Series III), chemicals like Angeli's salt (AS), NOC-5, NaHS, MitoTracker Green FM, Hoechst
4:Experimental Procedures and Operational Workflow:
333 Cells incubated with probes, treated with HNO donors or other species, imaged using confocal microscopy and flow cytometry. Animals injected with probes and imaged. Western blotting and H&E staining performed for protein expression and tissue analysis.
5:Data Analysis Methods:
Fluorescence intensity measurements, statistical analysis using mean and standard deviation, Pearson's coefficient for colocalization, Image-Pro Plus software for image analysis.
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