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@ARTICLE{Scherer:301579,
      author       = {M. Scherer$^*$ and I. Singh and M. M. Braun and C. Szu-Tu
                      and P. Sanchez Sanchez and D. Lindenhofer and N. A. Jakobsen
                      and V. Körber and M. Kardorff and L. Nitsch and P. Kautz
                      and J. Rühle and A. Bianchi and L. Cozzuto and R. Frömel
                      and S. Beneyto-Calabuig and C. Lareau and A. T. Satpathy and
                      R. Beekman and L. M. Steinmetz and S. Raffel and L. S.
                      Ludwig and P. Vyas and A. Rodriguez-Fraticelli and L.
                      Velten},
      title        = {{C}lonal tracing with somatic epimutations reveals dynamics
                      of blood ageing.},
      journal      = {Nature},
      volume       = {643},
      number       = {8071},
      issn         = {0028-0836},
      address      = {London [u.a.]},
      publisher    = {Nature Publ. Group},
      reportid     = {DKFZ-2025-01087},
      pages        = {478-487},
      year         = {2025},
      note         = {#EA:B370# / 2025 Jul;643(8071):478-487},
      abstract     = {Current approaches used to track stem cell clones through
                      differentiation require genetic engineering1,2 or rely on
                      sparse somatic DNA variants3,4, which limits their wide
                      application. Here we discover that DNA methylation of a
                      subset of CpG sites reflects cellular differentiation,
                      whereas another subset undergoes stochastic epimutations and
                      can serve as digital barcodes of clonal identity. We
                      demonstrate that targeted single-cell profiling of DNA
                      methylation5 at single-CpG resolution can accurately extract
                      both layers of information. To that end, we develop
                      EPI-Clone, a method for transgene-free lineage tracing at
                      scale. Applied to mouse and human haematopoiesis, we capture
                      hundreds of clonal differentiation trajectories across tens
                      of individuals and 230,358 single cells. In mouse ageing, we
                      demonstrate that myeloid bias and low output of old
                      haematopoietic stem cells6 are restricted to a small number
                      of expanded clones, whereas many functionally young-like
                      clones persist in old age. In human ageing, clones with and
                      without known driver mutations of clonal haematopoieis7 are
                      part of a spectrum of age-related clonal expansions that
                      display similar lineage biases. EPI-Clone enables accurate
                      and transgene-free single-cell lineage tracing on
                      hematopoietic cell state landscapes at scale.},
      cin          = {B370},
      ddc          = {500},
      cid          = {I:(DE-He78)B370-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40399669},
      doi          = {10.1038/s41586-025-09041-8},
      url          = {https://inrepo02.dkfz.de/record/301579},
}