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Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling

Cell–cell interactions are the fundamental behaviors to regulate cellular activities. A comprehensive evaluation of intercellular interactions requires direct profiling of various signaling behaviors simultaneously at the single‐cell level, which remains lacking. Herein, an integrative single‐cell s...

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Autores principales: Li, Linmei, Su, Haoran, Ji, Yahui, Zhu, Fengjiao, Deng, Jiu, Bai, Xue, Li, Huibing, Liu, Xianming, Luo, Yong, Lin, Bingcheng, Liu, Tingjiao, Lu, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323649/
https://www.ncbi.nlm.nih.gov/pubmed/37186381
http://dx.doi.org/10.1002/advs.202301018
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author Li, Linmei
Su, Haoran
Ji, Yahui
Zhu, Fengjiao
Deng, Jiu
Bai, Xue
Li, Huibing
Liu, Xianming
Luo, Yong
Lin, Bingcheng
Liu, Tingjiao
Lu, Yao
author_facet Li, Linmei
Su, Haoran
Ji, Yahui
Zhu, Fengjiao
Deng, Jiu
Bai, Xue
Li, Huibing
Liu, Xianming
Luo, Yong
Lin, Bingcheng
Liu, Tingjiao
Lu, Yao
author_sort Li, Linmei
collection PubMed
description Cell–cell interactions are the fundamental behaviors to regulate cellular activities. A comprehensive evaluation of intercellular interactions requires direct profiling of various signaling behaviors simultaneously at the single‐cell level, which remains lacking. Herein, an integrative single‐cell secretion analysis platform is presented to profile different secreted factors (four proteins, three extracellular vesicles (EV) phenotypes), spatial distances, and migration information (distances and direction) simultaneously from high‐throughput paired single cells using an antibody‐barcode microchip. Applying the platform to analyze the tumor–stromal and tumor–immune interactions with the human oral squamous cell carcinoma (OSCC) cell lines and primary OSCC cells reveals that the initial distances between cells would determine their migratory distances and direction to approach stable organization. The cell–cell in close proximity enhances protein secretions while attenuating EV secretions. Migration has a more profound correlation with protein secretions than EV secretions, in which absolute migration distance affects protein secretions significantly but not the direction. These findings highlight the significance of spatial organization in regulating cell signaling behaviors and demonstrate that the integrative single‐cell secretion profiling platform is well‐suited for a comprehensive dissection of intercellular communication and interactions, providing new avenues for understanding cell–cell interaction biology and how different signaling behaviors coordinate within the tumor microenvironment.
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spelling pubmed-103236492023-07-07 Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling Li, Linmei Su, Haoran Ji, Yahui Zhu, Fengjiao Deng, Jiu Bai, Xue Li, Huibing Liu, Xianming Luo, Yong Lin, Bingcheng Liu, Tingjiao Lu, Yao Adv Sci (Weinh) Research Articles Cell–cell interactions are the fundamental behaviors to regulate cellular activities. A comprehensive evaluation of intercellular interactions requires direct profiling of various signaling behaviors simultaneously at the single‐cell level, which remains lacking. Herein, an integrative single‐cell secretion analysis platform is presented to profile different secreted factors (four proteins, three extracellular vesicles (EV) phenotypes), spatial distances, and migration information (distances and direction) simultaneously from high‐throughput paired single cells using an antibody‐barcode microchip. Applying the platform to analyze the tumor–stromal and tumor–immune interactions with the human oral squamous cell carcinoma (OSCC) cell lines and primary OSCC cells reveals that the initial distances between cells would determine their migratory distances and direction to approach stable organization. The cell–cell in close proximity enhances protein secretions while attenuating EV secretions. Migration has a more profound correlation with protein secretions than EV secretions, in which absolute migration distance affects protein secretions significantly but not the direction. These findings highlight the significance of spatial organization in regulating cell signaling behaviors and demonstrate that the integrative single‐cell secretion profiling platform is well‐suited for a comprehensive dissection of intercellular communication and interactions, providing new avenues for understanding cell–cell interaction biology and how different signaling behaviors coordinate within the tumor microenvironment. John Wiley and Sons Inc. 2023-04-26 /pmc/articles/PMC10323649/ /pubmed/37186381 http://dx.doi.org/10.1002/advs.202301018 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Li, Linmei
Su, Haoran
Ji, Yahui
Zhu, Fengjiao
Deng, Jiu
Bai, Xue
Li, Huibing
Liu, Xianming
Luo, Yong
Lin, Bingcheng
Liu, Tingjiao
Lu, Yao
Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title_full Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title_fullStr Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title_full_unstemmed Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title_short Deciphering Cell–Cell Interactions with Integrative Single‐Cell Secretion Profiling
title_sort deciphering cell–cell interactions with integrative single‐cell secretion profiling
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323649/
https://www.ncbi.nlm.nih.gov/pubmed/37186381
http://dx.doi.org/10.1002/advs.202301018
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