journal article·2023-07Open access

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

Advanced Science· Volume 10· Issue 19

Abstract

Abstract 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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Research context

OpenAlex topics: Extracellular vesicles in disease · Immunotherapy and Immune Responses · RNA Interference and Gene Delivery

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian Liaoning 116023 China

Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Zhejiang Key Laboratory for Reactive Chemistry on Solid Surfaces Institute of Physical Chemistry Zhejiang Normal University Jinhua 321004 China

College of Stomatology Dalian Medical University Dalian Liaoning 116044 China

School of Pharmaceutical Science and Technology Dalian University of Technology Dalian Liaoning 116024 China

Department of Oral Pathology Shanghai Stomatological Hospital & School of Stomatology Fudan University Tianjin Road No.2, Huangpu District Shanghai 200001 China

Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases Fudan University Tianjin Road No.2, Huangpu District Shanghai 200001 China

Funding

National Natural Science Foundation of China

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