Massively parallel digital transcriptional profiling of single cells
Grace X Y Zheng1, Jessica M Terry1, Phillip Belgrader1
110x Genomics Inc., Pleasanton, California, 94566, USA.
Nature Communications
|January 17, 2017
Summary
This study introduces a droplet-based system for single-cell RNA sequencing, enabling rapid transcriptome analysis of thousands of cells. The technology accurately identifies rare cell populations and determines chimerism in transplant patients.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Single-cell transcriptome analysis is crucial for understanding cellular heterogeneity in biological systems.
- Existing methods can be limited in throughput and efficiency for large-scale studies.
Purpose of the Study:
- To develop and validate a droplet-based system for high-throughput 3' mRNA counting in single cells.
- To demonstrate the system's capability in identifying rare cell populations and analyzing complex biological samples.
Main Methods:
- A droplet-based microfluidic system was utilized for single-cell encapsulation and 3' mRNA counting.
- The system processed up to 8 samples concurrently with high cell capture efficiency.
- Transcriptome data from approximately 250,000 single cells across 29 samples were generated.
Main Results:
- The system demonstrated high sensitivity and the ability to detect rare cell populations using cell lines and synthetic RNAs.
- Profiling of 68,000 peripheral blood mononuclear cells showcased its utility for characterizing immune cell populations.
- Single-cell resolution of host and donor chimerism was achieved in bone marrow samples from transplant patients.
Conclusions:
- The droplet-based system provides a robust and efficient platform for large-scale single-cell transcriptome analysis.
- This technology facilitates the characterization of cellular heterogeneity, immune responses, and post-transplant monitoring.
