Melanoma is a fatal form of skin cancer which progresses in an orchestrated pattern in human skin. In this thesis, we focus on three phases of melanoma progression: radial growth phase (RGP) where melanoma cells are generally confined to the epidermis of the skin; vertical growth phase (VGP) where melanoma cells invade into the dermis of the skin; and the metastatic phase where melanoma cells enter the blood stream and spread to other parts of the body. Characterising these phases of melanoma in vitro is important to investigate disease progression. The principal aim of this thesis is to quantify key features of melanoma progression, these include: melanoma cell migration; melanoma cell proliferation; melanoma cell invasion; and melanoma nest formation using two-dimensional (2D) and threedimensional (3D) assays. We first investigate a reliable melanoma-specific marker and provide evidence that S100 is a sensitive marker that identifies melanoma cell lines: WM35 (RGP); WM793 (VGP); and SK-MEL-28 (metastatic) used in this project. Also included in this thesis is a demonstration of the difficulty of identifying a certain melanoma cell line, MM127. The most commonly used melanoma-associated markers failed to identify this cell line. We further investigate the rates of melanoma cell migration and cell proliferation using 2D co-culture assays. Since fibroblasts are thought to play an important role in cancer progression, the result from the cross-talk between melanoma cells and primary fibroblast cells could provide insightful information about their influence on the rates of spatial expansion. However, results from this study provide evidence that a more multicellular, heterogeneous, 3D environment might be necessary to examine the cross-talk between skin cells and melanoma cells. Since, cell-cell interactions are known to differ in an environment with more than two cell types, we characterise melanoma progression by constructing a 3D melanoma skin equivalent (MSE) model which resembles human skin in vivo and present our quantitative results of melanoma invasion in a time course pattern. Lastly, we use the 3D MSE model to identify and report our findings that proliferation and increased initial cell number drives melanoma nest formation. The outcomes of this project provide a foundation for 3D melanoma research and future in vitro assays are essential to fully understand the potential of this 3D model for clinical purposes.iii