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Related Experiment Video

Updated: Nov 20, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling.

Tracy M Yamawaki¹, Daniel R Lu¹, Daniel C Ellwanger¹

¹Genome Analysis Unit, Amgen Research, 1120 Veterans Blvd, South San Francisco, CA, 94080, USA.

|January 21, 2021

Summary

This study benchmarks seven single-cell RNA-seq methods, finding 10x Genomics 5' v1 and 3' v3 offer superior mRNA detection and fewer dropout events for immune cell profiling.

Keywords:

High throughput sequencing Immune-cell profiling Single cell Single-cell RNA-seq Transcriptomics

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Area of Science:

Immunology
Genomics
Bioinformatics

Background:

Single-cell RNA-seq (scRNA-seq) reveals immune cell heterogeneity but faces challenges with transcript dropout.
Limited sample availability and prior knowledge complicate scRNA-seq data interpretation.

Purpose of the Study:

To systematically benchmark seven high-throughput scRNA-seq methods.
To evaluate method performance for profiling immune cell heterogeneity.

Main Methods:

Benchmarking seven scRNA-seq methods using a defined mixture of human and murine lymphocyte cell lines.
Evaluating cell recovery, library efficiency, sensitivity, and expression signature recovery.
Assessing dropout events and differential gene expression.

Main Results:

10x Genomics 5' v1 and 3' v3 methods demonstrated higher mRNA detection sensitivity.
These methods exhibited fewer dropout events, improving differential gene expression analysis.
Enhanced concordance between single-cell profiles and bulk RNA-seq signatures was observed.

Conclusions:

The study provides metrics to guide the selection of high-throughput scRNA-seq methods.
Recommended methods facilitate more accurate profiling of complex in vivo immune cell heterogeneity.