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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561556/ https://www.ncbi.nlm.nih.gov/pubmed/28821273 http://dx.doi.org/10.1186/s13073-017-0467-4 |
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author | Haque, Ashraful Engel, Jessica Teichmann, Sarah A. Lönnberg, Tapio |
author_facet | Haque, Ashraful Engel, Jessica Teichmann, Sarah A. Lönnberg, Tapio |
author_sort | Haque, Ashraful |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5561556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55615562017-08-18 A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications Haque, Ashraful Engel, Jessica Teichmann, Sarah A. Lönnberg, Tapio Genome Med Review 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. BioMed Central 2017-08-18 /pmc/articles/PMC5561556/ /pubmed/28821273 http://dx.doi.org/10.1186/s13073-017-0467-4 Text en © Schwartz et al. 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Haque, Ashraful Engel, Jessica Teichmann, Sarah A. Lönnberg, Tapio A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title | A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title_full | A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title_fullStr | A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title_full_unstemmed | A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title_short | A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications |
title_sort | practical guide to single-cell rna-sequencing for biomedical research and clinical applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561556/ https://www.ncbi.nlm.nih.gov/pubmed/28821273 http://dx.doi.org/10.1186/s13073-017-0467-4 |
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