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Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs
FucoID is an intercellular proximity labeling technique for studying cell-cell interactions (CCIs) via fucosyltransferase (FT)–meditated fucosyl-biotinylation, which has been applied to probe antigen-specific dendritic cell (DC)–T cell interactions. In this system, bait cells of interest with cell s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770995/ https://www.ncbi.nlm.nih.gov/pubmed/36542702 http://dx.doi.org/10.1126/sciadv.add2337 |
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author | Qiu, Shuang Zhao, Zihan Wu, Mengyao Xue, Qi Yang, Yang Ouyang, Shian Li, Wannan Zhong, Lingyu Wang, Wenjian Yang, Rong Wu, Peng Li, Jie P. |
author_facet | Qiu, Shuang Zhao, Zihan Wu, Mengyao Xue, Qi Yang, Yang Ouyang, Shian Li, Wannan Zhong, Lingyu Wang, Wenjian Yang, Rong Wu, Peng Li, Jie P. |
author_sort | Qiu, Shuang |
collection | PubMed |
description | FucoID is an intercellular proximity labeling technique for studying cell-cell interactions (CCIs) via fucosyltransferase (FT)–meditated fucosyl-biotinylation, which has been applied to probe antigen-specific dendritic cell (DC)–T cell interactions. In this system, bait cells of interest with cell surface–anchored FT are used to capture the interacting prey cells by transferring a biotin-modified substrate to prey cells. Here, we leveraged FucoID to study CCIs directed by different molecular pairs, e.g., programmed cell death protein-1(PD-1)/programmed cell death protein-ligand-1 (PD-L1), and identify unknown or little studied CCIs, e.g., the interaction of DCs and B cells. To expand the application of FucoID to complex systems, we also synthesized site-specific antibody-based FT conjugate, which substantially improves the ability of FucoID to probe molecular signatures of specific CCI when cells of interest (bait cells) cannot be purified, e.g., in clinical samples. Collectively, these studies demonstrate the general applicability of FucoID to study unknown CCIs in complex systems at a molecular resolution. |
format | Online Article Text |
id | pubmed-9770995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97709952022-12-28 Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs Qiu, Shuang Zhao, Zihan Wu, Mengyao Xue, Qi Yang, Yang Ouyang, Shian Li, Wannan Zhong, Lingyu Wang, Wenjian Yang, Rong Wu, Peng Li, Jie P. Sci Adv Biomedicine and Life Sciences FucoID is an intercellular proximity labeling technique for studying cell-cell interactions (CCIs) via fucosyltransferase (FT)–meditated fucosyl-biotinylation, which has been applied to probe antigen-specific dendritic cell (DC)–T cell interactions. In this system, bait cells of interest with cell surface–anchored FT are used to capture the interacting prey cells by transferring a biotin-modified substrate to prey cells. Here, we leveraged FucoID to study CCIs directed by different molecular pairs, e.g., programmed cell death protein-1(PD-1)/programmed cell death protein-ligand-1 (PD-L1), and identify unknown or little studied CCIs, e.g., the interaction of DCs and B cells. To expand the application of FucoID to complex systems, we also synthesized site-specific antibody-based FT conjugate, which substantially improves the ability of FucoID to probe molecular signatures of specific CCI when cells of interest (bait cells) cannot be purified, e.g., in clinical samples. Collectively, these studies demonstrate the general applicability of FucoID to study unknown CCIs in complex systems at a molecular resolution. American Association for the Advancement of Science 2022-12-21 /pmc/articles/PMC9770995/ /pubmed/36542702 http://dx.doi.org/10.1126/sciadv.add2337 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Qiu, Shuang Zhao, Zihan Wu, Mengyao Xue, Qi Yang, Yang Ouyang, Shian Li, Wannan Zhong, Lingyu Wang, Wenjian Yang, Rong Wu, Peng Li, Jie P. Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title | Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title_full | Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title_fullStr | Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title_full_unstemmed | Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title_short | Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
title_sort | use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770995/ https://www.ncbi.nlm.nih.gov/pubmed/36542702 http://dx.doi.org/10.1126/sciadv.add2337 |
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