Multiplexed profiling of single-cell secretion on a hierarchical loading microwell chip
Ning Shao1, Yufu Zhou2, Xuewu Liu1
1Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX, 77030, USA.
Biosensors & Bioelectronics
|June 20, 2025
Summary
We developed a new chip for detecting proteins secreted by single cells. This method enables highly multiplexed analysis of cytokines from immune cells, aiding biological discovery and clinical diagnosis.
Area of Science:
- Immunology
- Cell Biology
- Biotechnology
Background:
- Protein secretion is crucial for cellular communication, development, and immune responses.
- Accurate detection of single-cell protein secretion is essential but technically challenging.
- Multiplexed analysis of secreted proteins at the single-cell level is highly desired.
Purpose of the Study:
- To develop a novel method for highly multiplexed detection of single-cell protein secretion.
- To demonstrate the platform's utility in profiling cytokine secretion from immune cells.
- To enable advanced single-cell analysis for biological and clinical applications.
Main Methods:
- A hierarchical loading microwell chip (HL-Chip) was designed for efficient single-cell and microbead alignment.
- The platform facilitates the capture of secreted proteins from thousands of single cells.
- Multiplexed detection of six cytokines from single T cells and macrophages was performed.
Main Results:
- The HL-Chip method successfully enabled highly multiplexed detection of secreted proteins.
- Profiling of six cytokines revealed transient cytokine bursts and polyfunctional heterogeneity in stimulated T cells.
- Antigen-specific stimulation of T cell receptor-engineered T (TCR-T) cells showed distinct secretion patterns.
Conclusions:
- The HL-Chip offers a simple and versatile platform for highly multiplexed single-cell secretion analysis.
- This technology advances the study of cellular communication and immune responses.
- Potential applications include biological discovery and clinical diagnostics for various diseases.


