ArticleAngewandte Chemie (International ed. in English)2018
A Hierarchical Coding Strategy for Live Cell Imaging of Protein-Specific Glycoform.
Article in Angewandte Chemie (International ed. in English), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Lipoic acid-boronophenylalanine-derived multifunctional vesicles for cancer chemoradiotherapy.Nature communications · 2025Article
- Highly Sensitive Labeling, Clickable Functionalization, and Glycoengineering of the MUC1 Neighboring System.JACS Au · 2024Article
- In Situ Glycan Analysis and Editing in Living Systems.JACS Au · 2024Review
- Molecular probes for cellular imaging of post-translational proteoforms.RSC chemical biology · 2022Review
- Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine.Frontiers in endocrinology · 2022Review
- Cellular macromolecules-tethered DNA walking indexing to explore nanoenvironments of chromatin modifications.Nature communications · 2021Article
- A localized molecular automaton forChemical science · 2020Article
- Click-encoded rolling FISH for visualizing single-cell RNA polyadenylation and structures.Nucleic acids research · 2019Article
- Dual resonance energy transfer in triple-component polymer dots to enhance electrochemiluminescence for highly sensitive bioanalysis.Chemical science · 2019Article
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6 authors.
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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.
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