EconPapers    
Economics at your fingertips  
 

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

Xiaoyin Liu, Jinbiao Ma, Yunrui Zhang, Yi Xu, Yunxiao Wang, Dehong Yang, Di Wang, Qingjun Liu and Fenni Zhang ()
Additional contact information
Xiaoyin Liu: Zhejiang University
Jinbiao Ma: Zhejiang University
Yunrui Zhang: Zhejiang University
Yi Xu: Zhejiang University School of Medicine
Yunxiao Wang: Zhejiang University
Dehong Yang: Zhejiang University
Di Wang: Zhejiang University
Qingjun Liu: Zhejiang University
Fenni Zhang: Zhejiang University

Nature Communications, 2025, vol. 16, issue 1, 1-14

Abstract: 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.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-56390-z Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56390-z

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-56390-z

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56390-z