Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.

TitleIntegrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.
Publication TypeJournal Article
Year of Publication2021
AuthorsNam AS, Chaligne R, Landau DA
JournalNat Rev Genet
Date Published2021 01
KeywordsClonal Evolution, Computational Biology, Epigenomics, Genetic Variation, Genomics, Humans, Mutation, Neoplasms, Single-Cell Analysis, Tumor Microenvironment

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.

Alternate JournalNat Rev Genet
PubMed ID32807900
PubMed Central IDPMC8450921
Grant ListDP5 OD029619 / OD / NIH HHS / United States
K08 HL151960 / HL / NHLBI NIH HHS / United States
Related Faculty: 
Anna (Seung Ha) Nam, M.D.

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