Abstract
Although melanoma is notorious for its high degree of heterogeneity and plasticity, the origin and magnitude of cell state diversity remains poorly understood. Equally, it is not known whether melanoma growth is supported by a subfraction of Melanoma Stem-like Cells (MSCs) and if so, whether MSCs and Metastasis-Initiating Cells (MICs) represent overlapping, interchangeable, or distinct cell populations. By combining single-cell gene expression profiling, multicolour lineage tracing and quantitative modelling, we developed a spatially and temporally resolved map of the diversity and trajectories of melanoma cell states during primary tumour growth and metastatic dissemination in a clinically-relevant mouse model of melanoma.
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