Multiplexed quantification of proteins and transcripts in single cells
Vanessa M Peterson1, Kelvin Xi Zhang2, Namit Kumar1
1Genetics &Pharmacogenomics, Department of Translational Medicine, Merck &Co., Inc., Boston, Massachusetts, USA.
Nature Biotechnology
|August 31, 2017
Summary
We developed a new tool, RNA expression and protein sequencing assay (REAP-seq), to simultaneously measure gene and protein levels in single cells. This method allows for comprehensive cellular analysis in a single workflow.
Area of Science:
- Single-cell biology
- Molecular biology
- Immunology
Background:
- Accurate measurement of gene and protein expression is crucial for understanding cellular function.
- Existing methods often require separate workflows for gene and protein analysis, limiting throughput and comprehensive analysis.
- Single-cell resolution is key to dissecting cellular heterogeneity and identifying rare cell populations.
Purpose of the Study:
- To introduce a novel assay, RNA expression and protein sequencing assay (REAP-seq), for simultaneous quantification of gene and protein expression in single cells.
- To demonstrate the utility of REAP-seq in a biological context, including assessing drug effects and discovering novel cell types.
Main Methods:
- Development and application of REAP-seq, integrating DNA-labeled antibodies and droplet microfluidics.
- Quantification of >20,000 genes and proteins using 82 barcoded antibodies in a single workflow.
- Application of REAP-seq to analyze human CD8+ lymphocytes and investigate the effects of a CD27 agonist.
Main Results:
- Successful simultaneous measurement of gene and protein expression at the single-cell level.
- Characterization of the costimulatory effects of a CD27 agonist on human CD8+ lymphocytes.
- Identification and characterization of a previously unknown cell type within the analyzed samples.
Conclusions:
- REAP-seq provides a powerful, integrated approach for high-throughput single-cell multi-omics analysis.
- This assay enables deeper insights into cellular responses and facilitates the discovery of novel cellular identities.
- REAP-seq has broad applications in immunology, cancer research, and developmental biology.


