Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data

Nat Commun. 2024 Oct 1;15(1):8512. doi: 10.1038/s41467-024-52544-7.

Abstract

Dysregulated DNA replication is a cause and a consequence of aneuploidy in cancer, yet the interplay between copy number alterations (CNAs), replication timing (RT) and cell cycle dynamics remain understudied in aneuploid tumors. We developed a probabilistic method, PERT, for simultaneous inference of cell-specific replication and copy number states from single-cell whole genome sequencing (scWGS) data. We used PERT to investigate clone-specific RT and proliferation dynamics in >50,000 cells obtained from aneuploid and clonally heterogeneous cell lines, xenografts and primary cancers. We observed bidirectional relationships between RT and CNAs, with CNAs affecting X-inactivation producing the largest RT shifts. Additionally, we found that clone-specific S-phase enrichment positively correlated with ground-truth proliferation rates in genomically stable but not unstable cells. Together, these results demonstrate robust computational identification of S-phase cells from scWGS data, and highlight the importance of RT and cell cycle properties in studying the genomic evolution of aneuploid tumors.

MeSH terms

  • Aneuploidy*
  • Animals
  • Cell Cycle / genetics
  • Cell Line, Tumor
  • Cell Proliferation* / genetics
  • DNA Copy Number Variations*
  • DNA Replication / genetics
  • DNA Replication Timing*
  • Humans
  • Mice
  • Neoplasms / genetics
  • Neoplasms / pathology
  • S Phase / genetics
  • Sequence Analysis, DNA / methods
  • Single-Cell Analysis* / methods
  • Whole Genome Sequencing