In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging

Abstract Cellular glycosylation is crucial for cell recognition, signal transduction, and the development of various diseases, especially in tumor initiation, progression, and metastasis. Current glycosylation profiling methods normally involve laborious sample processing and labeling and lack in-si...

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Main Authors: Xiaoyin Liu, Jinbiao Ma, Yunrui Zhang, Yi Xu, Yunxiao Wang, Dehong Yang, Di Wang, Qingjun Liu, Fenni Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56390-z
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author Xiaoyin Liu
Jinbiao Ma
Yunrui Zhang
Yi Xu
Yunxiao Wang
Dehong Yang
Di Wang
Qingjun Liu
Fenni Zhang
author_facet Xiaoyin Liu
Jinbiao Ma
Yunrui Zhang
Yi Xu
Yunxiao Wang
Dehong Yang
Di Wang
Qingjun Liu
Fenni Zhang
author_sort Xiaoyin Liu
collection DOAJ
description Abstract Cellular glycosylation is crucial for cell recognition, signal transduction, and the development of various diseases, especially in tumor initiation, progression, and metastasis. Current glycosylation profiling methods normally involve laborious sample processing and labeling and lack in-situ quantitative analysis. Here, we present a direct optical method to investigate and quantify the glycan expression on single cells based on lectin-glycan kinetic quantification with plasmonic imaging. Three unlabeled lectins (WGA, SBA, ConA) are employed as probes to bind with specific glycans, and binding kinetics are assessed to determine glycosylation profiles. The result reveals cell-to-cell heterogeneity in glycosylation patterns. To demonstrate the capability of our method, the glycosylation profiling of four distinct cell lines is explored, showing obvious alterations in glycan expression related to tumor initiation, progression, and metastasis. This approach enables direct quantification of glycosylation and binding kinetics, providing insights into tumor cell glycosylation mechanisms and potential applications in disease diagnosis and treatment.
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institution Kabale University
issn 2041-1723
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publishDate 2025-01-01
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series Nature Communications
spelling doaj-art-11b10e639fa24866aa5ec6809b7ba7b12025-01-26T12:41:48ZengNature PortfolioNature Communications2041-17232025-01-0116111410.1038/s41467-025-56390-zIn-situ profiling of glycosylation on single cells with surface plasmon resonance imagingXiaoyin Liu0Jinbiao Ma1Yunrui Zhang2Yi Xu3Yunxiao Wang4Dehong Yang5Di Wang6Qingjun Liu7Fenni Zhang8Biosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityStomatology Hospital, School of Stomatology, Zhejiang University School of MedicineBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityBiosensor National Special Laboratory, Department of Biomedical Engineering, Zhejiang UniversityAbstract Cellular glycosylation is crucial for cell recognition, signal transduction, and the development of various diseases, especially in tumor initiation, progression, and metastasis. Current glycosylation profiling methods normally involve laborious sample processing and labeling and lack in-situ quantitative analysis. Here, we present a direct optical method to investigate and quantify the glycan expression on single cells based on lectin-glycan kinetic quantification with plasmonic imaging. Three unlabeled lectins (WGA, SBA, ConA) are employed as probes to bind with specific glycans, and binding kinetics are assessed to determine glycosylation profiles. The result reveals cell-to-cell heterogeneity in glycosylation patterns. To demonstrate the capability of our method, the glycosylation profiling of four distinct cell lines is explored, showing obvious alterations in glycan expression related to tumor initiation, progression, and metastasis. This approach enables direct quantification of glycosylation and binding kinetics, providing insights into tumor cell glycosylation mechanisms and potential applications in disease diagnosis and treatment.https://doi.org/10.1038/s41467-025-56390-z
spellingShingle Xiaoyin Liu
Jinbiao Ma
Yunrui Zhang
Yi Xu
Yunxiao Wang
Dehong Yang
Di Wang
Qingjun Liu
Fenni Zhang
In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
Nature Communications
title In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
title_full In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
title_fullStr In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
title_full_unstemmed In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
title_short In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging
title_sort in situ profiling of glycosylation on single cells with surface plasmon resonance imaging
url https://doi.org/10.1038/s41467-025-56390-z
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