Abstract
In recent years there has been a rapid increase in the use of single-cell sequencing (scRNA-seq) approaches in the field of immunology. With the wide range of technologies available, it is becoming harder for users to select the best scRNA-seq protocol/platform to address their biological questions of interest. Here, we compared the advantages and limitations of four commonly used scRNA-seq platforms in order to clarify their suitability for different experimental applications. We also address how the datasets generated by different scRNA-seq platforms can be integrated, and how to identify unknown populations of single cells using unbiased bioinformatics methods.
Original language | English |
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Article number | 2425 |
Journal | Frontiers in Immunology |
Volume | 9 |
Issue number | OCT |
DOIs | |
Publication status | Published - 23 Oct 2018 |
Externally published | Yes |
Keywords
- 10X genomics chromium
- Dendritic cells
- Fluidigm C1
- Immunology
- MARS-seq
- SMART-seq
- Single-cell RNA sequencing