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Droplet Microfluidics Enables Tracing of Target Cells at the Single-Cell Transcriptome Resolution.
Yang Liu1, Shiyu Wang1,2, Menghua Lyu1,2
1BGI-Shenzhen, Shenzhen 518083, China.
Bioengineering (Basel, Switzerland)
|November 10, 2022
Summary
This study introduces an all-in-droplet method for single-cell transcriptome sequencing of TCR-T cells, simplifying workflows and improving efficiency for cell therapy monitoring. The technique enhances labor-saving cell analysis and accelerates clinical applications.
Area of Science:
- Biotechnology
- Genomics
- Immunotherapy
Background:
- Single-cell omics techniques are advancing precision medicine, prenatal diagnosis, and embryo development.
- Existing single-cell workflows require multiple steps like demulsification and cell recovery, impacting efficiency.
- There is a growing demand for updated single-cell techniques, especially for specific target cells.
Purpose of the Study:
- To develop an integrated, labor-saving method for monitoring TCR-T cells using single-cell transcriptome profiling.
- To streamline the workflow from cell encapsulation to single-cell sequencing within droplets.
- To reduce operational complexity and improve the efficiency of T cell analysis for immunotherapy.
Main Methods:
- An all-in-droplet method was developed, integrating cell encapsulation, target sorting, droplet picoinjection, and single-cell transcriptome profiling on chips.
- TCR-T cells were encapsulated and sorted within droplets, followed by reagent injection for scRNA-seq.
- The method avoided droplet breakage and re-encapsulation steps between sorting and sequencing.
Main Results:
- Achieved excellent recovery of single-cell transcriptome data with a median gene number exceeding 4000.
- Reported a low cross-contamination rate of 8.2 ± 2%.
- Demonstrated a convenient and highly integrable device for monitoring TCR-T cells.
Conclusions:
- The developed all-in-droplet method significantly simplifies TCR-T cell monitoring and single-cell transcriptome sequencing.
- This labor-saving strategy accelerates the progress of chip-based cell analysis and marketization.
- The technology holds promise for advancing adoptive T cell immunotherapy and its clinical applications.

