A Single-Cell Sequencing Guide for Immunologists.
Front Immunol, 2018;9:2425.
See P[1], Lum J[1], Chen J[1], Ginhoux F[1, 2]
Affiliations
PMID: 30405621DOI: 10.3389/fimmu.2018.02425
Impact factor: 8.786
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.
Keywords: 10X genomics chromium; MARS-seq; SMART-seq; dendritic cells; fluidigm C1; immunology; single-cell RNA sequencing
MeSH terms
Allergy and Immunology; Animals; Datasets as Topic; Gene Expression Profiling; High-Throughput Nucleotide Sequencing; Humans; Immunologic Techniques; Sequence Analysis, RNA; Single-Cell Analysis; Software
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