A tool for discovering drug sensitivity and gene expression associations in cancer cells.
The sensitivity of cancer cells to anticancer drugs is a crucial factor for developing effective treatments. However, it is still challenging to precisely predict the effectiveness of therapeutics in humans within a complex genomic and molecular context. We developed an interface which allows the us...
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doaj-af98f1e7329745338dfc286ecd87ccec2020-11-25T02:47:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01124e017676310.1371/journal.pone.0176763A tool for discovering drug sensitivity and gene expression associations in cancer cells.Yong QinAnthony P ConleyElizabeth A GrimmJason RoszikThe sensitivity of cancer cells to anticancer drugs is a crucial factor for developing effective treatments. However, it is still challenging to precisely predict the effectiveness of therapeutics in humans within a complex genomic and molecular context. We developed an interface which allows the user to rapidly explore drug sensitivity and gene expression associations. Predictions for how expression of various genes affect anticancer drug activity are available for all genes for a set of therapeutics based on data from various cell lines of different origin in the Cancer Cell Line Encyclopedia and the Genomics of Drug Sensitivity in Cancer projects. Our application makes discovery or validation of drug sensitivity and gene expression associations efficient. Effectiveness of this tool is demonstrated by multiple known and novel examples.http://europepmc.org/articles/PMC5409143?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yong Qin Anthony P Conley Elizabeth A Grimm Jason Roszik |
spellingShingle |
Yong Qin Anthony P Conley Elizabeth A Grimm Jason Roszik A tool for discovering drug sensitivity and gene expression associations in cancer cells. PLoS ONE |
author_facet |
Yong Qin Anthony P Conley Elizabeth A Grimm Jason Roszik |
author_sort |
Yong Qin |
title |
A tool for discovering drug sensitivity and gene expression associations in cancer cells. |
title_short |
A tool for discovering drug sensitivity and gene expression associations in cancer cells. |
title_full |
A tool for discovering drug sensitivity and gene expression associations in cancer cells. |
title_fullStr |
A tool for discovering drug sensitivity and gene expression associations in cancer cells. |
title_full_unstemmed |
A tool for discovering drug sensitivity and gene expression associations in cancer cells. |
title_sort |
tool for discovering drug sensitivity and gene expression associations in cancer cells. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2017-01-01 |
description |
The sensitivity of cancer cells to anticancer drugs is a crucial factor for developing effective treatments. However, it is still challenging to precisely predict the effectiveness of therapeutics in humans within a complex genomic and molecular context. We developed an interface which allows the user to rapidly explore drug sensitivity and gene expression associations. Predictions for how expression of various genes affect anticancer drug activity are available for all genes for a set of therapeutics based on data from various cell lines of different origin in the Cancer Cell Line Encyclopedia and the Genomics of Drug Sensitivity in Cancer projects. Our application makes discovery or validation of drug sensitivity and gene expression associations efficient. Effectiveness of this tool is demonstrated by multiple known and novel examples. |
url |
http://europepmc.org/articles/PMC5409143?pdf=render |
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