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Quantification of differential gene expression by multiplexed targeted resequencing of cDNA
Whole-transcriptome or RNA sequencing (RNA-Seq) is a powerful and versatile tool for functional analysis of different types of RNA molecules, but sample reagent and sequencing cost can be prohibitive for hypothesis-driven studies where the aim is to quantify differential expression of a limited numb...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424154/ https://www.ncbi.nlm.nih.gov/pubmed/28474677 http://dx.doi.org/10.1038/ncomms15190 |
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author | Arts, Peer van der Raadt, Jori van Gestel, Sebastianus H.C. Steehouwer, Marloes Shendure, Jay Hoischen, Alexander Albers, Cornelis A. |
author_facet | Arts, Peer van der Raadt, Jori van Gestel, Sebastianus H.C. Steehouwer, Marloes Shendure, Jay Hoischen, Alexander Albers, Cornelis A. |
author_sort | Arts, Peer |
collection | PubMed |
description | Whole-transcriptome or RNA sequencing (RNA-Seq) is a powerful and versatile tool for functional analysis of different types of RNA molecules, but sample reagent and sequencing cost can be prohibitive for hypothesis-driven studies where the aim is to quantify differential expression of a limited number of genes. Here we present an approach for quantification of differential mRNA expression by targeted resequencing of complementary DNA using single-molecule molecular inversion probes (cDNA-smMIPs) that enable highly multiplexed resequencing of cDNA target regions of ∼100 nucleotides and counting of individual molecules. We show that accurate estimates of differential expression can be obtained from molecule counts for hundreds of smMIPs per reaction and that smMIPs are also suitable for quantification of relative gene expression and allele-specific expression. Compared with low-coverage RNA-Seq and a hybridization-based targeted RNA-Seq method, cDNA-smMIPs are a cost-effective high-throughput tool for hypothesis-driven expression analysis in large numbers of genes (10 to 500) and samples (hundreds to thousands). |
format | Online Article Text |
id | pubmed-5424154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54241542017-05-23 Quantification of differential gene expression by multiplexed targeted resequencing of cDNA Arts, Peer van der Raadt, Jori van Gestel, Sebastianus H.C. Steehouwer, Marloes Shendure, Jay Hoischen, Alexander Albers, Cornelis A. Nat Commun Article Whole-transcriptome or RNA sequencing (RNA-Seq) is a powerful and versatile tool for functional analysis of different types of RNA molecules, but sample reagent and sequencing cost can be prohibitive for hypothesis-driven studies where the aim is to quantify differential expression of a limited number of genes. Here we present an approach for quantification of differential mRNA expression by targeted resequencing of complementary DNA using single-molecule molecular inversion probes (cDNA-smMIPs) that enable highly multiplexed resequencing of cDNA target regions of ∼100 nucleotides and counting of individual molecules. We show that accurate estimates of differential expression can be obtained from molecule counts for hundreds of smMIPs per reaction and that smMIPs are also suitable for quantification of relative gene expression and allele-specific expression. Compared with low-coverage RNA-Seq and a hybridization-based targeted RNA-Seq method, cDNA-smMIPs are a cost-effective high-throughput tool for hypothesis-driven expression analysis in large numbers of genes (10 to 500) and samples (hundreds to thousands). Nature Publishing Group 2017-05-05 /pmc/articles/PMC5424154/ /pubmed/28474677 http://dx.doi.org/10.1038/ncomms15190 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Arts, Peer van der Raadt, Jori van Gestel, Sebastianus H.C. Steehouwer, Marloes Shendure, Jay Hoischen, Alexander Albers, Cornelis A. Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title | Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title_full | Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title_fullStr | Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title_full_unstemmed | Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title_short | Quantification of differential gene expression by multiplexed targeted resequencing of cDNA |
title_sort | quantification of differential gene expression by multiplexed targeted resequencing of cdna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424154/ https://www.ncbi.nlm.nih.gov/pubmed/28474677 http://dx.doi.org/10.1038/ncomms15190 |
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