Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor

Single-cell whole-exome sequencing is a powerful method for deciphering intratumor heterogeneity and identifying cancer drivers. Here, the authors analyze SNVs and CNVs simultaneously in bulk and single cells of BRCA1-associated breast tissues and cancers and show that Plekha5 deficiency promotes me...

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Autores principales:	Jianlin Liu, Ragini Adhav, Kai Miao, Sek Man Su, Lihua Mo, Un In Chan, Xin Zhang, Jun Xu, Jianjie Li, Xiaodong Shu, Jianming Zeng, Xu Zhang, Xueying Lyu, Lakhansing Pardeshi, Kaeling Tan, Heng Sun, Koon Ho Wong, Chuxia Deng, Xiaoling Xu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d53cfce3edcf43e990fb6d21a06b3a89
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spelling	oai:doaj.org-article:d53cfce3edcf43e990fb6d21a06b3a892021-12-02T18:48:11ZCharacterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor10.1038/s41467-020-18637-92041-1723https://doaj.org/article/d53cfce3edcf43e990fb6d21a06b3a892020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18637-9https://doaj.org/toc/2041-1723Single-cell whole-exome sequencing is a powerful method for deciphering intratumor heterogeneity and identifying cancer drivers. Here, the authors analyze SNVs and CNVs simultaneously in bulk and single cells of BRCA1-associated breast tissues and cancers and show that Plekha5 deficiency promotes metastasis.Jianlin LiuRagini AdhavKai MiaoSek Man SuLihua MoUn In ChanXin ZhangJun XuJianjie LiXiaodong ShuJianming ZengXu ZhangXueying LyuLakhansing PardeshiKaeling TanHeng SunKoon Ho WongChuxia DengXiaoling XuNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-18 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jianlin Liu Ragini Adhav Kai Miao Sek Man Su Lihua Mo Un In Chan Xin Zhang Jun Xu Jianjie Li Xiaodong Shu Jianming Zeng Xu Zhang Xueying Lyu Lakhansing Pardeshi Kaeling Tan Heng Sun Koon Ho Wong Chuxia Deng Xiaoling Xu Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
description	Single-cell whole-exome sequencing is a powerful method for deciphering intratumor heterogeneity and identifying cancer drivers. Here, the authors analyze SNVs and CNVs simultaneously in bulk and single cells of BRCA1-associated breast tissues and cancers and show that Plekha5 deficiency promotes metastasis.
format	article
author	Jianlin Liu Ragini Adhav Kai Miao Sek Man Su Lihua Mo Un In Chan Xin Zhang Jun Xu Jianjie Li Xiaodong Shu Jianming Zeng Xu Zhang Xueying Lyu Lakhansing Pardeshi Kaeling Tan Heng Sun Koon Ho Wong Chuxia Deng Xiaoling Xu
author_facet	Jianlin Liu Ragini Adhav Kai Miao Sek Man Su Lihua Mo Un In Chan Xin Zhang Jun Xu Jianjie Li Xiaodong Shu Jianming Zeng Xu Zhang Xueying Lyu Lakhansing Pardeshi Kaeling Tan Heng Sun Koon Ho Wong Chuxia Deng Xiaoling Xu
author_sort	Jianlin Liu
title	Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
title_short	Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
title_full	Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
title_fullStr	Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
title_full_unstemmed	Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor
title_sort	characterization of brca1-deficient premalignant tissues and cancers identifies plekha5 as a tumor metastasis suppressor
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d53cfce3edcf43e990fb6d21a06b3a89
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Characterization of BRCA1-deficient premalignant tissues and cancers identifies Plekha5 as a tumor metastasis suppressor

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