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0This scientific paper introduces a novel computational framework that utilizes long-read sequencing of single-cell derived sublines to reconstruct the evolutionary history of melanoma. By analyzing 23 sublines from a mouse model, the researchers integrated diverse data types, including single-nucleotide variants, structural variants, and DNA methylation changes, into a unified phylogenetic tree. Their approach revealed that parallel evolution occurs through independent genomic rearrangements that amplify the same driver genes across different lineages. The study also identifies specific epigenetic trajectories and mutational processes, such as UV damage and oxidative stress, that correspond to aggressive tumor phenotypes. Ultimately, the authors provide an open-access dataset and specialized tools like TreeHarmonizer to improve the accuracy of cancer genomics research and benchmarking.
References:
Liu Y, Goretsky A, Keskus A G, et al. Long-read sequencing of single cell-derived melanoma sublines reveals divergent and parallel genomic and epigenomic evolutionary trajectories[J]. Nature Communications, 2026.
