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用于蛋白特异性糖型活细胞成像的分层编码策略。

A Hierarchical Coding Strategy for Live Cell Imaging of Protein-Specific Glycoform.

机构信息

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China.

出版信息

Angew Chem Int Ed Engl. 2018 Sep 10;57(37):12007-12011. doi: 10.1002/anie.201807054. Epub 2018 Aug 8.

Abstract

Live cell imaging of protein-specific glycoforms holds great promise for revolutionizing the study of glycochemistry. The imaging protocols developed thus far build upon the paired interplay of probe units, thus limiting the number of monosaccharide identification channels. A hierarchical coding (HieCo) imaging strategy, with DNA coding and decoding of protein and monosaccharides executed in fidelity to the hierarchical order of target glycoprotein, is reported herein and features expandable monosaccharide identification channels. A proof-of-concept protocol has been developed for MUC1-specific imaging of terminal sialic acid (Sia) and fucose (Fuc) on MCF-7, T47D, MDA-MB-231, and PANC-1 cells, revealing distinct monosaccharide patterns for four types of cells. The protocol also permits dynamic monitoring of changes in MUC1-specific monosaccharide patterns associated with both the alteration of cellular physiological states and the occurrence of a biologically important process.

摘要

蛋白质特异性糖型的活细胞成像有望彻底改变糖化学研究。迄今为止开发的成像方案基于探针单元的配对相互作用,从而限制了单糖识别通道的数量。本文报道了一种基于 DNA 编码和解码的分级编码(HieCo)成像策略,该策略忠实地执行蛋白质和单糖的分级顺序,以实现对靶糖蛋白的分级编码和解码,具有可扩展的单糖识别通道。已经为 MCF-7、T47D、MDA-MB-231 和 PANC-1 细胞上的 MUC1 特异性末端唾液酸(Sia)和岩藻糖(Fuc)成像开发了一个概念验证方案,揭示了四种类型细胞的独特单糖模式。该方案还允许动态监测与细胞生理状态改变和生物重要过程发生相关的 MUC1 特异性单糖模式的变化。

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