Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution

Intermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens.

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Autores principales:	Loukia G. Karacosta, Benedict Anchang, Nikolaos Ignatiadis, Samuel C. Kimmey, Jalen A. Benson, Joseph B. Shrager, Robert Tibshirani, Sean C. Bendall, Sylvia K. Plevritis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/32513de8c44b402d8bbb56fe5705714c
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spelling	oai:doaj.org-article:32513de8c44b402d8bbb56fe5705714c2021-12-02T17:01:58ZMapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution10.1038/s41467-019-13441-62041-1723https://doaj.org/article/32513de8c44b402d8bbb56fe5705714c2019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13441-6https://doaj.org/toc/2041-1723Intermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens.Loukia G. KaracostaBenedict AnchangNikolaos IgnatiadisSamuel C. KimmeyJalen A. BensonJoseph B. ShragerRobert TibshiraniSean C. BendallSylvia K. PlevritisNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-15 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
description	Intermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens.
format	article
author	Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis
author_facet	Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis
author_sort	Loukia G. Karacosta
title	Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
title_short	Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
title_full	Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
title_fullStr	Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
title_full_unstemmed	Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
title_sort	mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/32513de8c44b402d8bbb56fe5705714c
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Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution

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