A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications

RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messenger RNA molecules in a biological sample and is useful for studying cellular responses. RNA-seq has fueled much discovery and innovation in medicine over recent years. For practical reasons, the techn...

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Bibliographic Details
Published in:Genome medicine 2017-08, Vol.9 (1), p.75-75, Article 75
Main Authors: Haque, Ashraful, Engel, Jessica, Teichmann, Sarah A, Lönnberg, Tapio
Format: Article
Language:English
Subjects:
Analysis
Animals
Bioinformatics
Biological specimens
Biomedical Research
Computational Biology - methods
Data processing
Flow cytometry
Gene expression
Genomes
Humans
Immunoglobulins
Medical innovations
Medical research
Medicine, Experimental
Messenger RNA
mRNA
Protein expression
Proteins
Quality control
Researchers
Review
RNA sequencing
Sequence Analysis, RNA - methods
Single-Cell Analysis - methods
Studies
Therapeutic applications
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Summary:RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messenger RNA molecules in a biological sample and is useful for studying cellular responses. RNA-seq has fueled much discovery and innovation in medicine over recent years. For practical reasons, the technique is usually conducted on samples comprising thousands to millions of cells. However, this has hindered direct assessment of the fundamental unit of biology-the cell. Since the first single-cell RNA-sequencing (scRNA-seq) study was published in 2009, many more have been conducted, mostly by specialist laboratories with unique skills in wet-lab single-cell genomics, bioinformatics, and computation. However, with the increasing commercial availability of scRNA-seq platforms, and the rapid ongoing maturation of bioinformatics approaches, a point has been reached where any biomedical researcher or clinician can use scRNA-seq to make exciting discoveries. In this review, we present a practical guide to help researchers design their first scRNA-seq studies, including introductory information on experimental hardware, protocol choice, quality control, data analysis and biological interpretation.
ISSN:1756-994X
1756-994X
DOI:10.1186/s13073-017-0467-4