Real-Time Cell Cycle Imaging in a 3D Cell Culture Model of Melanoma, Quantitative Analysis, Optical Clearing, and Mathematical Modeling.
3D spheroid
Cancer drug resistance
Fluorescent ubiquitination-based cell cycle indicator (FUCCI)
Invasion
Mathematical modeling
Migration
Real-time imaging
Tumor heterogeneity
Tumor microenvironment
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2024
2024
Historique:
medline:
23
2
2024
pubmed:
23
2
2024
entrez:
23
2
2024
Statut:
ppublish
Résumé
Aberrant cell cycle progression is a hallmark of solid tumors. Therefore, cell cycle analysis is an invaluable technique to study cancer cell biology. However, cell cycle progression has been most commonly assessed by methods that are limited to temporal snapshots or that lack spatial information. In this chapter, we describe a technique that allows spatiotemporal real-time tracking of cell cycle progression of individual cells in a multicellular context. The power of this system lies in the use of 3D melanoma spheroids generated from melanoma cells engineered with the fluorescent ubiquitination-based cell cycle indicator (FUCCI). This technique, combined with mathematical modeling, allows us to gain further and more detailed insight into several relevant aspects of solid cancer cell biology, such as tumor growth, proliferation, invasion, and drug sensitivity.
Identifiants
pubmed: 38393602
doi: 10.1007/978-1-0716-3674-9_19
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
291-310Informations de copyright
© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
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