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Facile Blinking Dyes with Spontaneous Enol-Keto Tautomerism for Super-Resolution Imaging of Subcellular Targets

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摘要 Fluorophores with controlled on–off switching properties and subcellular targeting abilities are essential for modern super-resolution microscopy techniques.However,the effective design strategies of blinking fluorophores are still limited with scarce building blocks(e.g.,rhodamine and cyanine analogues),and sophisticated functionalization is always required for organelle recognition.Therefore,exploring live-cell compatible and organelle-targetable fluorophores with a new blinking mechanism is of broad interest to promote the emerging development of superresolution microscopy.Here,we report a type of live-cell permeable fluorophore with a facile synthesis strategy to facilitate the imaging of lipid droplets and lysosomes using single-molecule localization microscopy.The fluorophores only require a two-step synthetic route.They show signature enol-keto tautomerism by spontaneous proton transfer at the ground state without additional photoactivation,which ensures blinking performance by exciting the minor portion of molecules in keto form.This fluorescence switching mechanism provides a distinct character from that of previously reported live-cell permeable dyes for super-resolution imaging,while the specific organelle binding affinity can be tuned by simply changing the targeting moiety of fluorophores.
出处 《CCS Chemistry》 CSCD 2024年第11期2770-2782,共13页 中国化学会会刊(英文)
基金 supported by the Ministry of Science and Technology of China(grant no.2020YFA0908900) the National Natural Science Foundation of China(grant no.U21A2097) Key Technology Research and Development Program of Shandong(grant no.2021CXGC010212) Guangdong Provincial Key Laboratory of Advanced Biomaterials(grant no.2022B1212010003) Guangdong Natural Science Foundation Joint Fund(grant no.2020A1515110380) the Shenzhen Science and Technology Program(grant nos.KQTD20200820113012029 and JCYJ20220818100416036) the start-up fund provided by SUSTech for financial support The authors acknowledge the Center for Computational Science and Engineering at SUSTech for theoretical calculation support,and SUSTech Core Research Facilities for technical support.
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