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Review
, 42 (3), 189-199

Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing

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Review

Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing

Yoon Ha Choi et al. Mol Cells.

Abstract

Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological system is developed, homeo-statically regulated, and responds to external perturbations. Single-cell RNA sequencing (scRNA-seq) allows the quantitative and unbiased characterization of cellular heterogeneity by providing genome-wide molecular profiles from tens of thousands of individual cells. A major question in analyzing scRNA-seq data is how to account for the observed cell-to-cell variability. In this review, we provide an overview of scRNA-seq protocols, computational approaches for dissecting cellular heterogeneity, and future directions of single-cell transcriptomic analysis.

Keywords: RNA sequencing; cellular heterogeneity; single-cell; single-cell genomics; single-cell transcriptomics.

Figures

Fig. 1
Fig. 1
Computational workflow for analyzing scRNA-seq data.

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Cited by 3 PubMed Central articles

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