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固相合成提供了一个基于赖氨酸的模块化平台,用于对硝酰基和生物硫醇进行荧光鉴别。

Solid-phase synthesis provides a modular, lysine-based platform for fluorescent discrimination of nitroxyl and biological thiols.

作者信息

Loas Andrei, Radford Robert J, Deliz Liang Alexandria, Lippard Stephen J

机构信息

Department of Chemistry , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , MA 02139 , USA . Email:

出版信息

Chem Sci. 2015 Jul 15;6(7):4131-4140. doi: 10.1039/c5sc00880h. Epub 2015 May 19.

Abstract

We describe a modular, synthetically facile solid-phase approach aimed at separating the fluorescent reporter and binding unit of small-molecule metal-based sensors. The first representatives contain a lysine backbone functionalized with a tetramethylrhodamine fluorophore, and they operate by modulating the oxidation state of a copper ion ligated to an [N] (cyclam) or an [NO] (quinoline-phenolate) moiety. We demonstrate the selectivity of their Cu(ii) complexes for sensing nitroxyl (HNO) and thiols (RSH), respectively, and investigate the mechanism responsible for the observed reactivity in each case. The two lysine conjugates are cell permeable in the active, Cu(ii)-bound forms and retain their analyte selectivity intracellularly, even in the presence of interfering species such as nitric oxide, nitrosothiols, and hydrogen sulfide. Moreover, we apply the new probes to discriminate between distinct levels of intracellular HNO and RSH generated upon stimulation of live HeLa cells with ascorbate and hydrogen sulfide, respectively. The successful implementation of the lysine-based sensors to gain insight into biosynthetic pathways validates the method as a versatile tool for producing libraries of analogues with minimal synthetic effort.

摘要

我们描述了一种模块化、合成简便的固相方法,旨在分离小分子金属基传感器的荧光报告基团和结合单元。首批代表物含有用四甲基罗丹明荧光团功能化的赖氨酸主链,它们通过调节与 [N](环胺)或 [NO](喹啉酚盐)部分连接的铜离子的氧化态来发挥作用。我们分别展示了它们的铜(II)配合物对硝酰基(HNO)和硫醇(RSH)传感的选择性,并研究了每种情况下观察到的反应性的机制。这两种赖氨酸缀合物在活性的、与铜(II)结合的形式下可透过细胞,即使在存在干扰物质如一氧化氮、亚硝基硫醇和硫化氢的情况下,在细胞内也能保持其对分析物的选择性。此外,我们应用新探针分别区分在用抗坏血酸和硫化氢刺激活的HeLa细胞时产生的不同水平的细胞内HNO和RSH。基于赖氨酸的传感器成功用于深入了解生物合成途径,证实了该方法是一种以最小合成工作量生产类似物库的通用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f53c/5497726/fc99898b9ae4/c5sc00880h-f1.jpg

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