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Related Experiment Video

Updated: Feb 23, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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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
PubMed
Summary
This summary is machine-generated.

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.

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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.