DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery
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
Nature Publishing Group (NPG)
Published 2018
Nature Publishing Group (NPG)
Published 2018
| Publication Date: |
2018-10-18
|
|---|---|
| Publisher: |
Nature Publishing Group (NPG)
|
| Electronic ISSN: |
2041-1723
|
| Topics: |
Biology
Chemistry and Pharmacology
Natural Sciences in General
Physics
|
| Published by: |
| _version_ | 1836399070384488448 |
|---|---|
| autor | 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 |
| beschreibung | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery, Published online: 17 October 2018; doi:10.1038/s41467-018-06500-x 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. |
| citation_standardnr | 6345879 |
| datenlieferant | ipn_articles |
| feed_id | 134647 |
| feed_publisher | Nature Publishing Group (NPG) |
| feed_publisher_url | http://www.nature.com/ |
| insertion_date | 2018-10-18 |
| journaleissn | 2041-1723 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | Nature Publishing Group (NPG) |
| quelle | Nature Communications |
| relation | http://feeds.nature.com/~r/ncomms/rss/current/~3/F09X8Ha7yPg/s41467-018-06500-x |
| search_space | articles |
| shingle_author_1 | 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 |
| shingle_author_2 | 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 |
| shingle_author_3 | 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 |
| shingle_author_4 | 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 |
| shingle_catch_all_1 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery, Published online: 17 October 2018; doi:10.1038/s41467-018-06500-x 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. 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 Nature Publishing Group (NPG) 2041-1723 20411723 |
| shingle_catch_all_2 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery, Published online: 17 October 2018; doi:10.1038/s41467-018-06500-x 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. 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 Nature Publishing Group (NPG) 2041-1723 20411723 |
| shingle_catch_all_3 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery, Published online: 17 October 2018; doi:10.1038/s41467-018-06500-x 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. 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 Nature Publishing Group (NPG) 2041-1723 20411723 |
| shingle_catch_all_4 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery, Published online: 17 October 2018; doi:10.1038/s41467-018-06500-x 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. 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 Nature Publishing Group (NPG) 2041-1723 20411723 |
| shingle_title_1 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| shingle_title_2 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| shingle_title_3 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| shingle_title_4 | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| timestamp | 2025-06-30T23:37:07.856Z |
| titel | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| titel_suche | DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery |
| topic | W V TA-TD U |
| uid | ipn_articles_6345879 |