中文版 | English
Title

Deciphering intercellular signaling complexes by interaction-guided chemical proteomics

Author
Corresponding AuthorZheng,Jiangnan; Tian,Ruijun
Publication Years
2023-12-01
DOI
Source Title
EISSN
2041-1723
Volume14Issue:1
Abstract
Indirect cell–cell interactions mediated by secreted proteins and their plasma membrane receptors play essential roles for regulating intercellular signaling. However, systematic profiling of the interactions between living cell surface receptors and secretome from neighboring cells remains challenging. Here we develop a chemical proteomics approach, termed interaction-guided crosslinking (IGC), to identify ligand-receptor interactions in situ. By introducing glycan-based ligation and click chemistry, the IGC approach via glycan-to-glycan crosslinking successfully captures receptors from as few as 0.1 million living cells using only 10 ng of secreted ligand. The unparalleled sensitivity and selectivity allow systematic crosslinking and identification of ligand-receptor complexes formed between cell secretome and surfaceome in an unbiased and all-to-all manner, leading to the discovery of a ligand-receptor interaction between pancreatic cancer cell-secreted urokinase (PLAU) and neuropilin 1 (NRP1) on pancreatic cancer-associated fibroblasts. This approach is thus useful for systematic exploring new ligand-receptor pairs and discovering critical intercellular signaling events.
URL[Source Record]
Indexed By
Language
English
Important Publications
NI Journal Papers ; NI论文
SUSTech Authorship
First ; Corresponding
Funding Project
Natural Science Foundation of Guangdong Province[2019B151502050];Ministry of Science and Technology of the People's Republic of China[2020YFE0202200];Ministry of Science and Technology of the People's Republic of China[2021YFA1301601];Ministry of Science and Technology of the People's Republic of China[2021YFA1301602];Ministry of Science and Technology of the People's Republic of China[2021YFA1302603];Ministry of Science and Technology of the People's Republic of China[2022YFC3401104];National Natural Science Foundation of China-Yunnan Joint Fund[22125403];National Natural Science Foundation of China-Yunnan Joint Fund[32171433];National Natural Science Foundation of China-Yunnan Joint Fund[32201218];National Natural Science Foundation of China-Yunnan Joint Fund[91953118];National Natural Science Foundation of China-Yunnan Joint Fund[and 22104047];Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20200109140814408];Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20200109141212325];Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20210324120210029];
WOS Research Area
Science & Technology - Other Topics
WOS Subject
Multidisciplinary Sciences
WOS Accession No
WOS:001029450400021
Publisher
Scopus EID
2-s2.0-85165293183
Data Source
Scopus
Citation statistics
Cited Times [WOS]:2
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559456
DepartmentDepartment of Chemistry
Affiliation
1.Department of Chemistry,School of Science,Southern University of Science and Technology,Shenzhen,518055,China
2.School of Environment,Harbin Institute of Technology,Harbin,150090,China
3.Research Center for Chemical Biology and Omics Analysis,School of Science,Southern University of Science and Technology,Shenzhen,1088 Xueyuan Road,518055,China
First Author AffilicationDepartment of Chemistry
Corresponding Author AffilicationDepartment of Chemistry;  Southern University of Science and Technology
First Author's First AffilicationDepartment of Chemistry
Recommended Citation
GB/T 7714
Zheng,Jiangnan,Zheng,Zhendong,Fu,Changying,et al. Deciphering intercellular signaling complexes by interaction-guided chemical proteomics[J]. Nature Communications,2023,14(1).
APA
Zheng,Jiangnan.,Zheng,Zhendong.,Fu,Changying.,Weng,Yicheng.,He,An.,...&Tian,Ruijun.(2023).Deciphering intercellular signaling complexes by interaction-guided chemical proteomics.Nature Communications,14(1).
MLA
Zheng,Jiangnan,et al."Deciphering intercellular signaling complexes by interaction-guided chemical proteomics".Nature Communications 14.1(2023).
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