Jian Wang, Donghui Hong, Jili Li*, Linlin Wang, Yuqi Xie, Jun Da and Yanlan Liu*,
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引用次数: 0
Abstract
Simultaneous detection of multiple biomarkers is crucial to achieve specific and dynamic analysis of cellular senescence, given its intrinsic high heterogeneity. Current approaches for senescence detection largely rely on fluorescence imaging, but fluorescent probes inevitably suffer from issues including autofluorescence and spectral overlap when being applied for the simultaneous detection of multiple biomarkers. Herein, we report an alternative strategy and design activatable multiplexed senoprobes based on 19F NMR for dynamic monitoring of cellular senescence. Differing from previous approaches, our strategy has two unique advantages. First, this strategy utilizes the changes in the 19F chemical shift as the signal output, which features by its fingerprint and quantifiable characters, thereby significantly enhancing the detection throughput toward biomarkers with minimized spectral overlapping. Second, the background signal is minimized, benefiting from the extremely low abundance of F in biological samples, and the detection accuracy can thus be improved. As a proof of concept, two activatable 19F NMR molecular probes are synthesized that specially respond to two key senescence-associated biomarkers (β-gal and ROS) and have been successfully demonstrated for dynamical and quantitative assessment of the changes of these biomarkers in different cellular models of senescence, without causing obvious cytotoxicity. Owing to the flexible molecular design, this work may offer a useful platform to create diversified 19F NMR senoprobes for deep understanding of cellular senescence across a wide range of aging-related diseases.
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.