Cited 4 time in webofscience Cited 2 time in scopus

Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing

Title
Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing
Authors
Choi, Yoon HaKim, Jong Kyoung
DGIST Authors
Kim, Jong Kyoung
Issue Date
2019-03
Citation
Molecules and Cells, 42(3), 189-199
Type
Article
Article Type
Review
Author Keywords
cellular heterogeneityRNA sequencingsinglecellsingle-cell genomicssingle-cell transcriptomics
Keywords
GENE-EXPRESSIONTRANSCRIPTIONAL LANDSCAPESEQ DATAGENOMEQUANTIFICATIONVISUALIZATIONCHALLENGESCYTOMETRYINFERENCEIDENTITY
ISSN
1016-8478
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.
URI
http://hdl.handle.net/20.500.11750/9682
DOI
10.14348/molcells.2019.2446
Publisher
한국분자세포생물학회
Related Researcher
  • Author Kim, Jong Kyoung Lab of Single-cell Genomics
  • Research Interests Single-cell genomics, Bioinformatics, Machine Learning
Files:
There are no files associated with this item.
Collection:
Department of New BiologyLab of Single-cell Genomics1. Journal Articles


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