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Updated: Feb 28, 2026

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids
Published on: December 28, 2015
Real-Time Cell Cycle Imaging in a 3D Cell Culture Model of Melanoma
Loredana Spoerri1, Kimberley A Beaumont2,3, Andrea Anfosso2,3
1The University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, 37 Kent St, Woolloongabba, Brisbane, QLD, 4102, Australia.
Abstract:
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. Here, 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 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.
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