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Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project
Two-dimensional (2D) culture of cancer cells in vitro does not recapitulate the three-dimensional (3D) architecture, heterogeneity and complexity of human tumors. More representative models are required that better reflect key aspects of tumor biology. These are essential studies of cancer biology a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697359/ https://www.ncbi.nlm.nih.gov/pubmed/29160867 http://dx.doi.org/10.1038/sdata.2017.170 |
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author | de Hoogt, Ronald Estrada, Marta F. Vidic, Suzana Davies, Emma J. Osswald, Annika Barbier, Michael Santo, Vítor E. Gjerde, Kjersti van Zoggel, Hanneke J. A. A. Blom, Sami Dong, Meng Närhi, Katja Boghaert, Erwin Brito, Catarina Chong, Yolanda Sommergruber, Wolfgang van der Kuip, Heiko van Weerden, Wytske M. Verschuren, Emmy W. Hickman, John Graeser, Ralph |
author_facet | de Hoogt, Ronald Estrada, Marta F. Vidic, Suzana Davies, Emma J. Osswald, Annika Barbier, Michael Santo, Vítor E. Gjerde, Kjersti van Zoggel, Hanneke J. A. A. Blom, Sami Dong, Meng Närhi, Katja Boghaert, Erwin Brito, Catarina Chong, Yolanda Sommergruber, Wolfgang van der Kuip, Heiko van Weerden, Wytske M. Verschuren, Emmy W. Hickman, John Graeser, Ralph |
author_sort | de Hoogt, Ronald |
collection | PubMed |
description | Two-dimensional (2D) culture of cancer cells in vitro does not recapitulate the three-dimensional (3D) architecture, heterogeneity and complexity of human tumors. More representative models are required that better reflect key aspects of tumor biology. These are essential studies of cancer biology and immunology as well as for target validation and drug discovery. The Innovative Medicines Initiative (IMI) consortium PREDECT (www.predect.eu) characterized in vitro models of three solid tumor types with the goal to capture elements of tumor complexity and heterogeneity. 2D culture and 3D mono- and stromal co-cultures of increasing complexity, and precision-cut tumor slice models were established. Robust protocols for the generation of these platforms are described. Tissue microarrays were prepared from all the models, permitting immunohistochemical analysis of individual cells, capturing heterogeneity. 3D cultures were also characterized using image analysis. Detailed step-by-step protocols, exemplary datasets from the 2D, 3D, and slice models, and refined analytical methods were established and are presented. |
format | Online Article Text |
id | pubmed-5697359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56973592017-11-29 Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project de Hoogt, Ronald Estrada, Marta F. Vidic, Suzana Davies, Emma J. Osswald, Annika Barbier, Michael Santo, Vítor E. Gjerde, Kjersti van Zoggel, Hanneke J. A. A. Blom, Sami Dong, Meng Närhi, Katja Boghaert, Erwin Brito, Catarina Chong, Yolanda Sommergruber, Wolfgang van der Kuip, Heiko van Weerden, Wytske M. Verschuren, Emmy W. Hickman, John Graeser, Ralph Sci Data Data Descriptor Two-dimensional (2D) culture of cancer cells in vitro does not recapitulate the three-dimensional (3D) architecture, heterogeneity and complexity of human tumors. More representative models are required that better reflect key aspects of tumor biology. These are essential studies of cancer biology and immunology as well as for target validation and drug discovery. The Innovative Medicines Initiative (IMI) consortium PREDECT (www.predect.eu) characterized in vitro models of three solid tumor types with the goal to capture elements of tumor complexity and heterogeneity. 2D culture and 3D mono- and stromal co-cultures of increasing complexity, and precision-cut tumor slice models were established. Robust protocols for the generation of these platforms are described. Tissue microarrays were prepared from all the models, permitting immunohistochemical analysis of individual cells, capturing heterogeneity. 3D cultures were also characterized using image analysis. Detailed step-by-step protocols, exemplary datasets from the 2D, 3D, and slice models, and refined analytical methods were established and are presented. Nature Publishing Group 2017-11-21 /pmc/articles/PMC5697359/ /pubmed/29160867 http://dx.doi.org/10.1038/sdata.2017.170 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor de Hoogt, Ronald Estrada, Marta F. Vidic, Suzana Davies, Emma J. Osswald, Annika Barbier, Michael Santo, Vítor E. Gjerde, Kjersti van Zoggel, Hanneke J. A. A. Blom, Sami Dong, Meng Närhi, Katja Boghaert, Erwin Brito, Catarina Chong, Yolanda Sommergruber, Wolfgang van der Kuip, Heiko van Weerden, Wytske M. Verschuren, Emmy W. Hickman, John Graeser, Ralph Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title | Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title_full | Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title_fullStr | Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title_full_unstemmed | Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title_short | Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project |
title_sort | protocols and characterization data for 2d, 3d, and slice-based tumor models from the predect project |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697359/ https://www.ncbi.nlm.nih.gov/pubmed/29160867 http://dx.doi.org/10.1038/sdata.2017.170 |
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