Rundong Yu, Junwei Zhang, Xiaohong Peng* and Zhixing Chen*,
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Bright Zinc Probes with Thiomorpholine Monoxide Auxochromes for Imaging Insulin Secretion
Zinc biology significantly impacts human physiological and pathological processes, especially for β-cell endocrinology. In 2021, our group reported the PKZnR family with minimal phototoxicity and μM affinities for monitoring Zn2+/insulin corelease during vesicular secretory events on β-cells (Zhang et al. Angew. Chem. Int. Ed.2021, 60 (49), 25846−25855). Here, we synthesized a series of Zn2+ probes (PKZnBR) featuring thiomorpholine monoxide auxochromes with Kd values ranging from 160 nM to 94 μM. By inhibiting the twisted intramolecular charge transfer (TICT) state, the fluorescence quantum yields of PKZnBRs can be effectively increased to ∼7 times those of PKZnRs. A privileged candidate, PKZnBR-3, has a high turn-on ratio (∼134), appropriate affinity (340 nM), and excellent hydrophilicity, making it a powerful tool for long-term ex vivo recording of insulin secretion in mouse islets with minimal phototoxicity.
期刊介绍:
Chemical & Biomedical Imaging is a peer-reviewed open access journal devoted to the publication of cutting-edge research papers on all aspects of chemical and biomedical imaging. This interdisciplinary field sits at the intersection of chemistry physics biology materials engineering and medicine. The journal aims to bring together researchers from across these disciplines to address cutting-edge challenges of fundamental research and applications.Topics of particular interest include but are not limited to:Imaging of processes and reactionsImaging of nanoscale microscale and mesoscale materialsImaging of biological interactions and interfacesSingle-molecule and cellular imagingWhole-organ and whole-body imagingMolecular imaging probes and contrast agentsBioluminescence chemiluminescence and electrochemiluminescence imagingNanophotonics and imagingChemical tools for new imaging modalitiesChemical and imaging techniques in diagnosis and therapyImaging-guided drug deliveryAI and machine learning assisted imaging