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• W3049084893 abstract "Cancer represents an evolutionary process through which growing malignant populations genetically diversify, leading to tumour progression, relapse and resistance to therapy. In addition to genetic diversity, the cell-to-cell variation that fuels evolutionary selection also manifests in cellular states, epigenetic profiles, spatial distributions and interactions with the microenvironment. Therefore, the study of cancer requires the integration of multiple heritable dimensions at the resolution of the single cell - the atomic unit of somatic evolution. In this Review, we discuss emerging analytic and experimental technologies for single-cell multi-omics that enable the capture and integration of multiple data modalities to inform the study of cancer evolution. These data show that cancer results from a complex interplay between genetic and non-genetic determinants of somatic evolution." @default.
• W3049084893 created "2020-08-21" @default.
• W3049084893 creator A5054360386 @default.
• W3049084893 creator A5082561080 @default.
• W3049084893 creator A5086217179 @default.
• W3049084893 date "2020-08-17" @default.
• W3049084893 modified "2023-10-10" @default.
• W3049084893 title "Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics" @default.
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