DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery

RNA-seq is a powerful tool to investigate how drugs affect the transcriptome but library construction can be costly. Here the authors introduce DRUG-seq, an automated platform for high-throughput transcriptome profiling.

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Autores principales: Chaoyang Ye, Daniel J. Ho, Marilisa Neri, Chian Yang, Tripti Kulkarni, Ranjit Randhawa, Martin Henault, Nadezda Mostacci, Pierre Farmer, Steffen Renner, Robert Ihry, Leandra Mansur, Caroline Gubser Keller, Gregory McAllister, Marc Hild, Jeremy Jenkins, Ajamete Kaykas
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/7b7edf1cccfe4d95aaa258f27cffc83f
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spelling oai:doaj.org-article:7b7edf1cccfe4d95aaa258f27cffc83f2021-12-02T15:34:19ZDRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery10.1038/s41467-018-06500-x2041-1723https://doaj.org/article/7b7edf1cccfe4d95aaa258f27cffc83f2018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06500-xhttps://doaj.org/toc/2041-1723RNA-seq is a powerful tool to investigate how drugs affect the transcriptome but library construction can be costly. Here the authors introduce DRUG-seq, an automated platform for high-throughput transcriptome profiling.Chaoyang YeDaniel J. HoMarilisa NeriChian YangTripti KulkarniRanjit RandhawaMartin HenaultNadezda MostacciPierre FarmerSteffen RennerRobert IhryLeandra MansurCaroline Gubser KellerGregory McAllisterMarc HildJeremy JenkinsAjamete KaykasNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Chaoyang Ye
Daniel J. Ho
Marilisa Neri
Chian Yang
Tripti Kulkarni
Ranjit Randhawa
Martin Henault
Nadezda Mostacci
Pierre Farmer
Steffen Renner
Robert Ihry
Leandra Mansur
Caroline Gubser Keller
Gregory McAllister
Marc Hild
Jeremy Jenkins
Ajamete Kaykas
DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
description RNA-seq is a powerful tool to investigate how drugs affect the transcriptome but library construction can be costly. Here the authors introduce DRUG-seq, an automated platform for high-throughput transcriptome profiling.
format article
author Chaoyang Ye
Daniel J. Ho
Marilisa Neri
Chian Yang
Tripti Kulkarni
Ranjit Randhawa
Martin Henault
Nadezda Mostacci
Pierre Farmer
Steffen Renner
Robert Ihry
Leandra Mansur
Caroline Gubser Keller
Gregory McAllister
Marc Hild
Jeremy Jenkins
Ajamete Kaykas
author_facet Chaoyang Ye
Daniel J. Ho
Marilisa Neri
Chian Yang
Tripti Kulkarni
Ranjit Randhawa
Martin Henault
Nadezda Mostacci
Pierre Farmer
Steffen Renner
Robert Ihry
Leandra Mansur
Caroline Gubser Keller
Gregory McAllister
Marc Hild
Jeremy Jenkins
Ajamete Kaykas
author_sort Chaoyang Ye
title DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
title_short DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
title_full DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
title_fullStr DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
title_full_unstemmed DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
title_sort drug-seq for miniaturized high-throughput transcriptome profiling in drug discovery
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/7b7edf1cccfe4d95aaa258f27cffc83f
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