Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics

Non-invasive methods to predict treatment response are urgently needed. Here in lung cancer, the authors develop a single-cell on-chip cytometry method to metabolically phenotype disseminated tumor cells, revealing metabolic heterogeneity and predictors of therapy response and survival.

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Detalles Bibliográficos
Autores principales:	Ziming Li, Zhuo Wang, Yin Tang, Xiang Lu, Jie Chen, Yu Dong, Baojun Wu, Chunying Wang, Liu Yang, Zhili Guo, Min Xue, Shun Lu, Wei Wei, Qihui Shi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fc6306e74458427db8cad26bd5b3ccb6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:fc6306e74458427db8cad26bd5b3ccb62021-12-02T15:35:09ZLiquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics10.1038/s41467-019-11808-32041-1723https://doaj.org/article/fc6306e74458427db8cad26bd5b3ccb62019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11808-3https://doaj.org/toc/2041-1723Non-invasive methods to predict treatment response are urgently needed. Here in lung cancer, the authors develop a single-cell on-chip cytometry method to metabolically phenotype disseminated tumor cells, revealing metabolic heterogeneity and predictors of therapy response and survival.Ziming LiZhuo WangYin TangXiang LuJie ChenYu DongBaojun WuChunying WangLiu YangZhili GuoMin XueShun LuWei WeiQihui ShiNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ziming Li Zhuo Wang Yin Tang Xiang Lu Jie Chen Yu Dong Baojun Wu Chunying Wang Liu Yang Zhili Guo Min Xue Shun Lu Wei Wei Qihui Shi Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
description	Non-invasive methods to predict treatment response are urgently needed. Here in lung cancer, the authors develop a single-cell on-chip cytometry method to metabolically phenotype disseminated tumor cells, revealing metabolic heterogeneity and predictors of therapy response and survival.
format	article
author	Ziming Li Zhuo Wang Yin Tang Xiang Lu Jie Chen Yu Dong Baojun Wu Chunying Wang Liu Yang Zhili Guo Min Xue Shun Lu Wei Wei Qihui Shi
author_facet	Ziming Li Zhuo Wang Yin Tang Xiang Lu Jie Chen Yu Dong Baojun Wu Chunying Wang Liu Yang Zhili Guo Min Xue Shun Lu Wei Wei Qihui Shi
author_sort	Ziming Li
title	Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
title_short	Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
title_full	Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
title_fullStr	Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
title_full_unstemmed	Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
title_sort	liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/fc6306e74458427db8cad26bd5b3ccb6
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Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics

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