Massively parallel digital transcriptional profiling of single cells
10X Genomics (United States) · Fred Hutch Cancer Center · +2 more institutions
Abstract
ABSTRACT Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of up to tens of thousands of single cells per sample. Cell encapsulation in droplets takes place in ∼6 minutes, with ∼50% cell capture efficiency, up to 8 samples at a time. The speed and efficiency allow the processing of precious samples while minimizing stress to cells. To demonstrate the system′s technical performance and its applications, we collected transcriptome data from ∼¼ million single cells across 29 samples. First, we validate the sensitivity of the system and its ability to detect rare populations using cell…
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Authors
32Topics & keywords
- Transcriptome
- Peripheral blood mononuclear cell
- Computational biology
- Single-cell analysis
- Biology
- Cell
- Profiling (computer programming)
- Cell biology