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http://dx.doi.org/10.14348/molcells.2019.2446

Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing  

Choi, Yoon Ha (Department of New Biology, DGIST)
Kim, Jong Kyoung (Department of New Biology, DGIST)
Publication Information
Molecules and Cells / v.42, no.3, 2019 , pp. 189-199 More about this Journal
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, homeostatically 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
cellular heterogeneity; RNA sequencing; single-cell; single-cell genomics; single-cell transcriptomics;
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