TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics

Abstract Spheroid cultures derived from explanted cancer specimens are an increasingly utilized resource for studying complex biological processes like tumor cell invasion and metastasis, representing an important bridge between the simplicity and practicality of 2-dimensional monolayer cultures and...

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Autores principales:	Yue Hou, Jessica Konen, Daniel J. Brat, Adam I. Marcus, Lee A. D. Cooper
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8098aaddc24a4afebe20581829e7721b
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spelling	oai:doaj.org-article:8098aaddc24a4afebe20581829e7721b2021-12-02T15:07:58ZTASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics10.1038/s41598-018-25337-42045-2322https://doaj.org/article/8098aaddc24a4afebe20581829e7721b2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25337-4https://doaj.org/toc/2045-2322Abstract Spheroid cultures derived from explanted cancer specimens are an increasingly utilized resource for studying complex biological processes like tumor cell invasion and metastasis, representing an important bridge between the simplicity and practicality of 2-dimensional monolayer cultures and the complexity and realism of in vivo animal models. Temporal imaging of spheroids can capture the dynamics of cell behaviors and microenvironments, and when combined with quantitative image analysis methods, enables deep interrogation of biological mechanisms. This paper presents a comprehensive open-source software framework for Temporal Analysis of Spheroid Imaging (TASI) that allows investigators to objectively characterize spheroid growth and invasion dynamics. TASI performs spatiotemporal segmentation of spheroid cultures, extraction of features describing spheroid morpho-phenotypes, mathematical modeling of spheroid dynamics, and statistical comparisons of experimental conditions. We demonstrate the utility of this tool in an analysis of non-small cell lung cancer spheroids that exhibit variability in metastatic and proliferative behaviors.Yue HouJessica KonenDaniel J. BratAdam I. MarcusLee A. D. CooperNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yue Hou Jessica Konen Daniel J. Brat Adam I. Marcus Lee A. D. Cooper TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
description	Abstract Spheroid cultures derived from explanted cancer specimens are an increasingly utilized resource for studying complex biological processes like tumor cell invasion and metastasis, representing an important bridge between the simplicity and practicality of 2-dimensional monolayer cultures and the complexity and realism of in vivo animal models. Temporal imaging of spheroids can capture the dynamics of cell behaviors and microenvironments, and when combined with quantitative image analysis methods, enables deep interrogation of biological mechanisms. This paper presents a comprehensive open-source software framework for Temporal Analysis of Spheroid Imaging (TASI) that allows investigators to objectively characterize spheroid growth and invasion dynamics. TASI performs spatiotemporal segmentation of spheroid cultures, extraction of features describing spheroid morpho-phenotypes, mathematical modeling of spheroid dynamics, and statistical comparisons of experimental conditions. We demonstrate the utility of this tool in an analysis of non-small cell lung cancer spheroids that exhibit variability in metastatic and proliferative behaviors.
format	article
author	Yue Hou Jessica Konen Daniel J. Brat Adam I. Marcus Lee A. D. Cooper
author_facet	Yue Hou Jessica Konen Daniel J. Brat Adam I. Marcus Lee A. D. Cooper
author_sort	Yue Hou
title	TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
title_short	TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
title_full	TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
title_fullStr	TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
title_full_unstemmed	TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics
title_sort	tasi: a software tool for spatial-temporal quantification of tumor spheroid dynamics
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/8098aaddc24a4afebe20581829e7721b
work_keys_str_mv	AT yuehou tasiasoftwaretoolforspatialtemporalquantificationoftumorspheroiddynamics AT jessicakonen tasiasoftwaretoolforspatialtemporalquantificationoftumorspheroiddynamics AT danieljbrat tasiasoftwaretoolforspatialtemporalquantificationoftumorspheroiddynamics AT adamimarcus tasiasoftwaretoolforspatialtemporalquantificationoftumorspheroiddynamics AT leeadcooper tasiasoftwaretoolforspatialtemporalquantificationoftumorspheroiddynamics
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TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics

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