Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling

Understanding why some tumor cells respond to therapy and others do not is essential for advancing precision cancer care. Here, the authors perform large-scale transcriptomic profiling of breast cancer cell lines treated with anti-cancer drugs and find that certain drug classes induce cell line spec...

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Autores principales:	Mario Niepel, Marc Hafner, Qiaonan Duan, Zichen Wang, Evan O. Paull, Mirra Chung, Xiaodong Lu, Joshua M. Stuart, Todd R. Golub, Aravind Subramanian, Avi Ma’ayan, Peter K. Sorger
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/57f6fd3a402544048badc526067a421b
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spelling	oai:doaj.org-article:57f6fd3a402544048badc526067a421b2021-12-02T14:42:39ZCommon and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling10.1038/s41467-017-01383-w2041-1723https://doaj.org/article/57f6fd3a402544048badc526067a421b2017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-01383-whttps://doaj.org/toc/2041-1723Understanding why some tumor cells respond to therapy and others do not is essential for advancing precision cancer care. Here, the authors perform large-scale transcriptomic profiling of breast cancer cell lines treated with anti-cancer drugs and find that certain drug classes induce cell line specific responses.Mario NiepelMarc HafnerQiaonan DuanZichen WangEvan O. PaullMirra ChungXiaodong LuJoshua M. StuartTodd R. GolubAravind SubramanianAvi Ma’ayanPeter K. SorgerNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mario Niepel Marc Hafner Qiaonan Duan Zichen Wang Evan O. Paull Mirra Chung Xiaodong Lu Joshua M. Stuart Todd R. Golub Aravind Subramanian Avi Ma’ayan Peter K. Sorger Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
description	Understanding why some tumor cells respond to therapy and others do not is essential for advancing precision cancer care. Here, the authors perform large-scale transcriptomic profiling of breast cancer cell lines treated with anti-cancer drugs and find that certain drug classes induce cell line specific responses.
format	article
author	Mario Niepel Marc Hafner Qiaonan Duan Zichen Wang Evan O. Paull Mirra Chung Xiaodong Lu Joshua M. Stuart Todd R. Golub Aravind Subramanian Avi Ma’ayan Peter K. Sorger
author_facet	Mario Niepel Marc Hafner Qiaonan Duan Zichen Wang Evan O. Paull Mirra Chung Xiaodong Lu Joshua M. Stuart Todd R. Golub Aravind Subramanian Avi Ma’ayan Peter K. Sorger
author_sort	Mario Niepel
title	Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
title_short	Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
title_full	Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
title_fullStr	Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
title_full_unstemmed	Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
title_sort	common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/57f6fd3a402544048badc526067a421b
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Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling

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