Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project
| Autor: | Emmy W. Verschuren, Vítor E. Santo, Meng Dong, Erwin R. Boghaert, Katja Närhi, Wolfgang Sommergruber, Kjersti Gjerde, Suzana Vidic, Annika Osswald, Hanneke J. A. A. van Zoggel, Sami Blom, Emma J. Davies, Ronald de Hoogt, Marta Estrada, Yolanda T. Chong, Ralph Graeser, John A. Hickman, Heiko van der Kuip, Wytske M. van Weerden, Catarina Brito, Michaël Barbier |
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| Přispěvatelé: | Institute for Molecular Medicine Finland, Olli-Pekka Kallioniemi / Principal Investigator, University of Helsinki, Research Group Verschuren Emmy, Lung Cancer Model Systems, Urology |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Data Descriptor Stromal cell Computer science Tumour heterogeneity Cell Culture Techniques protocols Computational biology Cellular imaging Library and Information Sciences Bioinformatics Models Biological IMI-PREDECT Target validation Education Cell growth 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Target identification Neoplasms Humans Cancer biology Solid tumor Cancer Tissue microarray COMPLEXITY Drug discovery Tumor biology tissue slices 3. Good health Computer Science Applications 030104 developmental biology 030220 oncology & carcinogenesis 3111 Biomedicine Statistics Probability and Uncertainty Engineering sciences. Technology Information Systems 3D |
| Zdroj: | Scientific Data Scientific data, 4:170170. Nature Publishing Group |
| ISSN: | 2052-4463 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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