Abstract
Metastasis is a hallmark of cancer and the leading cause of mortality among cancer patients. Cancer, in its most deadly form, is thus not only a disease of uncontrolled cell growth but also a disease of uncontrolled cell migration. The study of tumor cell migration requires both experimental systems that are representative of the complex tumor environment as well as quantitative tools to analyze migration patterns. In this chapter, we focus on experimental and analytical methods to capture and analyze cell migration in live explants from mouse intestinal tumors. We first describe a protocol to extract and perform ex vivo live imaging on intestinal tumors in mice. We then provide a step-by-step image analysis workflow using freely available software and custom analysis scripts for extracting several parameters related to collective cell migration and cell and tissue organization.
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Acknowledgments
We acknowledge Danijela Matic Vignjevic for helpful discussions and for use of data and protocols that were developed while working in her laboratory. AGC was funded by the Federal Ministry of Education and Research (BMBF) and the Baden-Württemberg Ministry of Science (MWK) as part of the Excellence Strategy of the German Federal and State Governments (NWG-GastroTumors to AGC). RS was funded by L'Institut Thématique Multi-Organisme Cancer (Plan Cancer 2014–2019), Fondation pour la Recherche Médicale (FRM FDT20170437130), and Ecole Doctorale Frontières du Vivant (FdV)—Fondation Bettencourt Schueller.
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1 Electronic Supplementary Movie Legends
Left: live imaging from an ex vivo intestinal tumor slice expressing nuclear GFP (nGFP, green) with Second Harmonic Generation (SHG, magenta) imaging to capture thick collagen bundles. Right: segmented and labeled image series using StarDist and tracked using TrackMate. Scale bar, 100 μm. HH:MM (MOV 4366 kb)
Left: live imaging of a 2D model of an early intestinal tumor using primary organoids with membrane Tomato labeling. Middle: tissue movements from subsequent frames quantified using particle image velocimetry (PIV). Right: cell segmentations and labeling using TissueAnalyzer. Scale Bar, 50 μm. HH:MM (MOV 5953 kb)
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Staneva, R., Clark, A.G. (2023). Analysis of Collective Migration Patterns Within Tumors. In: Margadant, C. (eds) Cell Migration in Three Dimensions. Methods in Molecular Biology, vol 2608. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2887-4_18
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DOI: https://doi.org/10.1007/978-1-0716-2887-4_18
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