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

Mingsheng Wang1,2, Jingyu Qi2,3, Shiyu Wang4

  • 1School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China.

Analytical Chemistry
|April 17, 2026
PubMed

Insights

We developed ValveCCI-seq, a new method to study cell-cell interactions. This high-throughput platform preserves cell identities, enabling better understanding of immune responses and advancing cell therapy.

Area of Science:

  • Biotechnology
  • Immunology
  • Genomics

Background:

  • Immunotherapy efficacy relies on precise immune cell interaction modulation.
  • Current cell-cell interaction analysis methods have limitations in throughput, efficiency, and preserving cell identity.

Purpose of the Study:

  • To develop a high-resolution platform for profiling cell-cell interactions while preserving cell identities.
  • To overcome the limitations of existing transcriptome-based methods for analyzing cell-cell interactions.

Main Methods:

  • Developed ValveCCI-seq, a microfluidic platform integrating deterministic cell-pairing and in situ sequencing.
  • Achieved high throughput (32,000 cell pairs/hour) and efficiency (>86%) with broad cell compatibility.
  • Enabled direct transcriptome profiling of co-encapsulated cell pairs within droplets, preserving cell-pair identities.

Main Results:

  • ValveCCI-seq revealed gene expression signatures linked to T-cell activation using Jurkat and T2 cells.
  • Demonstrated precise identification of tumor antigens and cognate T-cell receptor (TCR) sequences.
  • Preserved interacting cell identities and enabled high-throughput analysis.

Conclusions:

  • ValveCCI-seq offers a robust framework for advancing cell therapy development.
  • Facilitates systematic studies of cellular interactions in clinical samples.
  • Supports parallel TCR screening across multiple antigens.