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

  • Linmei Li
  • , Haoran Su
  • , Yahui Ji
  • , Fengjiao Zhu
  • , Jiu Deng
  • , Xue Bai
  • , Huibing Li
  • , Xianming Liu
  • , Yong Luo
  • , Bingcheng Lin
  • , Tingjiao Liu
  • , Yao Lu
  • Dalian Institute of Chemical Physics Chinese Academy of Sciences
  • Zhejiang Normal University
  • Dalian Medical University
  • Dalian University of Technology
  • Fudan University

科研成果: 期刊稿件 › 文章 › 同行评审

23 引用 (Scopus)

摘要

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.

源语言英语
期刊论文编号2301018
期刊Advanced Science
卷10
期19
DOI
出版状态已出版 - 6 7月 2023
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