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Review
. 2018 Jul 4:9:1553.
doi: 10.3389/fimmu.2018.01553. eCollection 2018.

Single Cell RNA Sequencing of Rare Immune Cell Populations

Akira Nguyen  1   2 , Weng Hua Khoo  3   4 , Imogen Moran  1   2 , Peter I Croucher  2   3 , Tri Giang Phan  1   2
Affiliations
Review

Single Cell RNA Sequencing of Rare Immune Cell Populations

Akira Nguyen et al. Front Immunol. .

Abstract

Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particularly rare cells that are often overlooked in bulk population analytical approaches. This has lead to the discovery of new cell types and cellular states that echo the underlying heterogeneity and plasticity in the immune system. Technologies for the capture, sequencing, and bioinformatic analysis of single cells are rapidly improving, and scRNA-Seq is now becoming much more accessible to non-specialized laboratories. Here, we describe our experiences in adopting scRNA-Seq to the study of rare immune cells in their microanatomical niches.

Keywords: dormant cancer cells; memory B cells; niche; single cell RNA sequencing; two-photon microscopy.

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Figures

Figure 1
Figure 1
Key considerations in a general single-cell RNA sequencing workflow.
Figure 2
Figure 2
Comparison of the characteristics of several common single cell isolation methods (top), reported single cell capture efficiency and doublet rates (bottom).
Figure 3
Figure 3
Comparison of common single cell RNA sequencing protocols, features, and their applications.
See this image and copyright information in PMC

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