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KMID : 0578320190420030189
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Molecules and Cells
2019 Volume.42 No. 3 p.189 ~ p.199
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Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing
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Choi Yoon-Ha
Kim Jong-Kyoung
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Abstract
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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.
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KEYWORD
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cellular heterogeneity, RNA sequencing, single-cell, single-cell genomics, single-cell transcriptomics
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