Highly multiplexed quantitation of gene expression on single cells

Area of Science:

• Molecular Biology
• Immunology
• Genomics

Background:

• Single-cell technologies are crucial for understanding cellular heterogeneity.
• Recent advancements allow simultaneous measurement of 96+ gene expressions per cell for immunologic monitoring.
• A need exists for rigorous, quantitative methodologies for these advanced assays.

Purpose of the Study:

• To develop and validate a robust, quantitative methodology for highly multiplexed, single-cell gene expression analysis.
• To establish primer/probe qualification, assess primer competition, and define assay sensitivity.
• To demonstrate the platform's utility in both high-throughput gene signature discovery and single-cell subset identification.

Main Methods:

• Developed a unique primer/probe qualification process for quantitative accuracy.
• Validated that primers do not compete in highly multiplexed amplification reactions.
• Determined the assay's limit of detection to be a single mRNA transcript.
• Assessed and confirmed the high technical reproducibility of the system.

Main Results:

• The optimized methodology ensures quantitative and reproducible gene expression measurements.
• The assay is highly sensitive, detecting single mRNA transcripts.
• Demonstrated successful application in both bulk (100 cells) and single-cell analyses.
• Identified distinct cellular subsets based on coordinate gene expression patterns.

Conclusions:

• The presented methodology provides a rigorous and quantitative framework for highly multiplexed single-cell gene expression analysis.
• This validated platform supports high-throughput gene signature discovery and detailed single-cell characterization.
• The technology offers significant potential for advancing immunologic monitoring and understanding cellular heterogeneity.