A Hierarchical Coding Strategy for Live Cell Imaging of Protein‐Specific Glycoform
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 (Hi...
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| Published in: | Angewandte Chemie Vol. 130; no. 37; pp. 12183 - 12187 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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10.09.2018
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| ISSN: | 0044-8249, 1521-3757 |
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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.
Eine hierarchische Kodierungsstrategie für die Bildgebung proteinspezifischer Glykoform in lebenden Zellen wurde entwickelt, bei der DNA jedes Strukturmotiv getreu der hierarchischen Ordnung des gesuchten Glykoproteins kodiert und dekodiert. Die Strategie nutzt expandierbare Monosaccharid‐Identifizierungskanäle, und sie sollte ein vollständigeres Bild der Proteinglykosylierungsmechanismen und ‐funktionen liefern. |
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| AbstractList | 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. 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. Eine hierarchische Kodierungsstrategie für die Bildgebung proteinspezifischer Glykoform in lebenden Zellen wurde entwickelt, bei der DNA jedes Strukturmotiv getreu der hierarchischen Ordnung des gesuchten Glykoproteins kodiert und dekodiert. Die Strategie nutzt expandierbare Monosaccharid‐Identifizierungskanäle, und sie sollte ein vollständigeres Bild der Proteinglykosylierungsmechanismen und ‐funktionen liefern. |
| Author | Ding, Lin Li, Siqiao Feng, Yimei Liu, Yiran Liu, Lu Ju, Huangxian |
| Author_xml | – sequence: 1 givenname: Siqiao surname: Li fullname: Li, Siqiao organization: Nanjing University – sequence: 2 givenname: Yiran surname: Liu fullname: Liu, Yiran organization: Nanjing University – sequence: 3 givenname: Lu surname: Liu fullname: Liu, Lu organization: Nanjing University – sequence: 4 givenname: Yimei surname: Feng fullname: Feng, Yimei organization: Nanjing University – sequence: 5 givenname: Lin orcidid: 0000-0001-5381-3484 surname: Ding fullname: Ding, Lin email: dinglin@nju.edu.cn organization: Nanjing University – sequence: 6 givenname: Huangxian surname: Ju fullname: Ju, Huangxian email: hxju@nju.edu.cn organization: Nanjing University |
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| SubjectTerms | Bildgebung lebender Zellen Channels Chemistry Decoding Deoxyribonucleic acid DNA Fucose Glycoproteins Glykosylierungen Imaging Monosaccharides Proteins Proteinspezifische Glykoform Stoffwechsel-Engineering |
| Title | A Hierarchical Coding Strategy for Live Cell Imaging of Protein‐Specific Glycoform |
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