Nature Communications (Oct 2018)
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
Affiliations
- Chaoyang Ye
- Neuroscience Research, Novartis Institutes for Biomedical Research
- Daniel J. Ho
- Neuroscience Research, Novartis Institutes for Biomedical Research
- Marilisa Neri
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Chian Yang
- Chemical Biology & Therapeutics, Novartis Institutes for Biomedical Research
- Tripti Kulkarni
- Scientific Computing, Novartis Institutes for Biomedical Research
- Ranjit Randhawa
- Neuroscience Research, Novartis Institutes for Biomedical Research
- Martin Henault
- Chemical Biology & Therapeutics, Novartis Institutes for Biomedical Research
- Nadezda Mostacci
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Pierre Farmer
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Steffen Renner
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Robert Ihry
- Neuroscience Research, Novartis Institutes for Biomedical Research
- Leandra Mansur
- Analytical Sciences & Imaging, Novartis Institutes for Biomedical Research
- Caroline Gubser Keller
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Gregory McAllister
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Marc Hild
- Chemical Biology & Therapeutics, Novartis Institutes for Biomedical Research
- Jeremy Jenkins
- Chemical Biology & Therapeutics Informatics, Novartis Institutes for Biomedical Research
- Ajamete Kaykas
- Neuroscience Research, Novartis Institutes for Biomedical Research
- DOI
- https://doi.org/10.1038/s41467-018-06500-x
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 9
Abstract
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.
