Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation

Glioblastoma cells are known to be able to adapt easily to different environments. The authors study the dynamic adaptation of glioblastoma cells to the heterogenous brain tumor microenvironment, showing that tumor cells demonstrate varying plasticity of their transcriptomic profiles and an ability...

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Autores principales:	Orieta Celiku, Mark R. Gilbert, Orit Lavi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/4ace50b761364b00be3150908a5c97e3
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spelling	oai:doaj.org-article:4ace50b761364b00be3150908a5c97e32021-12-02T16:57:51ZComputational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation10.1038/s41467-019-13726-w2041-1723https://doaj.org/article/4ace50b761364b00be3150908a5c97e32019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13726-whttps://doaj.org/toc/2041-1723Glioblastoma cells are known to be able to adapt easily to different environments. The authors study the dynamic adaptation of glioblastoma cells to the heterogenous brain tumor microenvironment, showing that tumor cells demonstrate varying plasticity of their transcriptomic profiles and an ability to survive new stimuli, in part, by propagating stochastic perturbations over their gene-regulatory network.Orieta CelikuMark R. GilbertOrit LaviNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Orieta Celiku Mark R. Gilbert Orit Lavi Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
description	Glioblastoma cells are known to be able to adapt easily to different environments. The authors study the dynamic adaptation of glioblastoma cells to the heterogenous brain tumor microenvironment, showing that tumor cells demonstrate varying plasticity of their transcriptomic profiles and an ability to survive new stimuli, in part, by propagating stochastic perturbations over their gene-regulatory network.
format	article
author	Orieta Celiku Mark R. Gilbert Orit Lavi
author_facet	Orieta Celiku Mark R. Gilbert Orit Lavi
author_sort	Orieta Celiku
title	Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
title_short	Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
title_full	Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
title_fullStr	Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
title_full_unstemmed	Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
title_sort	computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/4ace50b761364b00be3150908a5c97e3
work_keys_str_mv	AT orietaceliku computationalmodelingdemonstratesthatglioblastomacellscansurvivespatialenvironmentalchallengesthroughexploratoryadaptation AT markrgilbert computationalmodelingdemonstratesthatglioblastomacellscansurvivespatialenvironmentalchallengesthroughexploratoryadaptation AT oritlavi computationalmodelingdemonstratesthatglioblastomacellscansurvivespatialenvironmentalchallengesthroughexploratoryadaptation
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Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation

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