|Title||Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.|
|Publication Type||Journal Article|
|Year of Publication||2021|
|Authors||Nam AS, Chaligne R, Landau DA|
|Journal||Nat Rev Genet|
|Date Published||2021 01|
|Keywords||Clonal 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 Journal||Nat Rev Genet|
|PubMed Central ID||PMC8450921|
|Grant List||DP5 OD029619 / OD / NIH HHS / United States |
K08 HL151960 / HL / NHLBI NIH HHS / United States
Anna (Seung Ha) Nam, M.D.