ValveCCI-seq: An Advanced Microfluidic Approach for Deciphering Cell–Cell Interactions

sequencing module for high-resolution profiling of cell-cell interactions. The pairing module achieves a throughput of up to 32,000 cell pairs per hour with an efficiency exceeding 86% and is broadly compatible with diverse cell types. The sequencing module enables direct transcriptome profiling of coencapsulated cell pairs within droplets, eliminating the need for postinteraction demulsification and thereby preserving the identities of both interacting cells. Utilizing Jurkat and T2 cells as a model system, ValveCCI-seq revealed gene expression signatures associated with T-cell activation and demonstrated its capability for the precise identification of tumor antigens and their cognate T-cell receptor (TCR) sequences. In conclusion, ValveCCI-seq preserves interacting cell identities and enables high-throughput analysis, potentially facilitating systematic studies of cellular interactions in clinical samples, supporting parallel TCR screening across multiple antigens, and providing a robust framework to advance cell therapy development.

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Publication Details

Journal
Analytical Chemistry
Published
2026-04-17
DOI
https://doi.org/10.1021/acs.analchem.5c06978
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

ValveCCI-seq: An Advanced Microfluidic Approach for Deciphering Cell–Cell Interactions

Jian Jin, Y F LIU, Yinlu Deng, Xiaobao Cao et al.
Analytical Chemistry
3D Printing in Biomedical Research
article

ValveCCI-seq: An Advanced Microfluidic Approach for Deciphering Cell–Cell Interactions

Jian Jin, Y F LIU, Yinlu Deng, Xiaobao Cao, Jingyu Qi, Lu Liu, Xinyi Luo, Longsheng Lu, Lingliao Zeng, Kangshuai Zhu, Guangting Xie, Pinglong Fang, Tao Xu, Wenhua Xu, Yuan Yang, Shiyu Wang, Mingsheng Wang, Xueqi Xu
article en

Abstract

sequencing module for high-resolution profiling of cell-cell interactions. The pairing module achieves a throughput of up to 32,000 cell pairs per hour with an efficiency exceeding 86% and is broadly compatible with diverse cell types. The sequencing module enables direct transcriptome profiling of coencapsulated cell pairs within droplets, eliminating the need for postinteraction demulsification and thereby preserving the identities of both interacting cells. Utilizing Jurkat and T2 cells as a model system, ValveCCI-seq revealed gene expression signatures associated with T-cell activation and demonstrated its capability for the precise identification of tumor antigens and their cognate T-cell receptor (TCR) sequences. In conclusion, ValveCCI-seq preserves interacting cell identities and enables high-throughput analysis, potentially facilitating systematic studies of cellular interactions in clinical samples, supporting parallel TCR screening across multiple antigens, and providing a robust framework to advance cell therapy development.

Analytical Chemistry
Xuzhou Medical College (CN), Nankai University (CN), Guangzhou Experimental Station (CN), Lead Chemical (Japan) (JP), Institute of Cell Biology (UA), University of Chinese Academy of Sciences (CN), Huazhong University of Science and Technology (CN), South China University of Technology (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
3D Printing in Biomedical Research
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