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Deciphering intercellular signaling complexes by interaction-guided chemical proteomics

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 challeng...

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Autores principales: Zheng, Jiangnan, Zheng, Zhendong, Fu, Changying, Weng, Yicheng, He, An, Ye, Xueting, Gao, Weina, Tian, Ruijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338493/
https://www.ncbi.nlm.nih.gov/pubmed/37438365
http://dx.doi.org/10.1038/s41467-023-39881-9
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author Zheng, Jiangnan
Zheng, Zhendong
Fu, Changying
Weng, Yicheng
He, An
Ye, Xueting
Gao, Weina
Tian, Ruijun
author_facet Zheng, Jiangnan
Zheng, Zhendong
Fu, Changying
Weng, Yicheng
He, An
Ye, Xueting
Gao, Weina
Tian, Ruijun
author_sort Zheng, Jiangnan
collection PubMed
description 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.
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spelling pubmed-103384932023-07-14 Deciphering intercellular signaling complexes by interaction-guided chemical proteomics Zheng, Jiangnan Zheng, Zhendong Fu, Changying Weng, Yicheng He, An Ye, Xueting Gao, Weina Tian, Ruijun Nat Commun Article 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. Nature Publishing Group UK 2023-07-12 /pmc/articles/PMC10338493/ /pubmed/37438365 http://dx.doi.org/10.1038/s41467-023-39881-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zheng, Jiangnan
Zheng, Zhendong
Fu, Changying
Weng, Yicheng
He, An
Ye, Xueting
Gao, Weina
Tian, Ruijun
Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title_full Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title_fullStr Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title_full_unstemmed Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title_short Deciphering intercellular signaling complexes by interaction-guided chemical proteomics
title_sort deciphering intercellular signaling complexes by interaction-guided chemical proteomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338493/
https://www.ncbi.nlm.nih.gov/pubmed/37438365
http://dx.doi.org/10.1038/s41467-023-39881-9
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