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Exp Mol Med. 2018 Aug 7;50(8):96. doi: 10.1038/s12276-018-0071-8.

Single-cell RNA sequencing technologies and bioinformatics pipelines.

Author information

1
Department of Chemistry, Yonsei University, Seoul, Korea.
2
Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, Korea. hyunihyuni@khu.ac.kr.
3
Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Korea. hyunihyuni@khu.ac.kr.
4
Department of Chemistry, Yonsei University, Seoul, Korea. duheebang@yonsei.ac.kr.

Abstract

Rapid progress in the development of next-generation sequencing (NGS) technologies in recent years has provided many valuable insights into complex biological systems, ranging from cancer genomics to diverse microbial communities. NGS-based technologies for genomics, transcriptomics, and epigenomics are now increasingly focused on the characterization of individual cells. These single-cell analyses will allow researchers to uncover new and potentially unexpected biological discoveries relative to traditional profiling methods that assess bulk populations. Single-cell RNA sequencing (scRNA-seq), for example, can reveal complex and rare cell populations, uncover regulatory relationships between genes, and track the trajectories of distinct cell lineages in development. In this review, we will focus on technical challenges in single-cell isolation and library preparation and on computational analysis pipelines available for analyzing scRNA-seq data. Further technical improvements at the level of molecular and cell biology and in available bioinformatics tools will greatly facilitate both the basic science and medical applications of these sequencing technologies.

PMID:
30089861
PMCID:
PMC6082860
DOI:
10.1038/s12276-018-0071-8
[Indexed for MEDLINE]
Free PMC Article

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