Single-cell RT-LAMP mRNA detection by integrated droplet sorting and merging

Area of Science:

• Biotechnology
• Molecular Biology
• Microfluidics

Background:

• Single-cell transcriptomic analysis reveals cellular heterogeneity.
• Current methods for full transcriptome profiling are costly and time-consuming.
• Biomedical applications require sensitive, low-cost gene detection.

Purpose of the Study:

• To develop a rapid, low-cost, and high-throughput droplet-based microfluidic platform for single-cell gene expression analysis.
• To enable quantification of specific mRNA levels in different cell types.
• To streamline multi-step reaction assays on-chip.

Main Methods:

• Utilized a droplet-based microfluidic platform for single-cell encapsulation, sorting, and merging.
• Developed a single-cell reverse transcription loop-mediated isothermal amplification (scRT-LAMP) workflow.
• Integrated on-chip lysis, reactant addition, and quantitative mRNA detection.

Main Results:

• Achieved seamless on-chip droplet sorting and merging for multi-step assays.
• Quantified specific mRNA expression levels in different cell types within one hour.
• Demonstrated a rapid, robust, and high-throughput experimental approach.

Conclusions:

• The developed on-chip platform offers a fast and efficient method for single-cell gene expression analysis.
• This approach is suitable for various biomedical applications, including pathogen detection.
• The workflow significantly reduces preparation time and reagent costs compared to traditional methods.