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


Authors: Weiner, A. C.; Williams, M. J.; Shi, H.; Vázquez-García, I.; Salehi, S.; Rusk, N.; Aparicio, S.; Shah, S. P.; McPherson, A.
Article Title: Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data
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. © The Author(s) 2024.
Keywords: controlled study; human tissue; gene mutation; human cell; genetics; mutation; cisplatin; nonhuman; dna replication; neoplasm; neoplasms; cell proliferation; mouse; animal; animals; mice; allele; animal tissue; cell cycle; cell cycle s phase; animal experiment; animal model; evolution; tumor xenograft; pathology; cell line, tumor; molecular cloning; statistical analysis; dna; molecular evolution; probability; genomic instability; quantitative analysis; tumor cell line; ovary carcinoma; genome; x chromosome inactivation; aneuploidy; s phase; sequence analysis, dna; dna copy number variations; copy number variation; cell dna; dna damage checkpoint; triple negative breast cancer; single cell analysis; single-cell analysis; procedures; dna replication timing; cell component; dna sequencing; humans; human; female; article; whole genome sequencing; cancer cell line; probabilistic estimation of single cell replication timing
Journal Title: Nature Communications
Volume: 15
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2024-10-01
Start Page: 8512
Language: English
DOI: 10.1038/s41467-024-52544-7
PUBMED: 39353885
PROVIDER: scopus
PMCID: PMC11445576
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record and PDF. Corresponding MSK authors are Sohrab P. Shah and Andrew McPherson -- Source: Scopus
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MSK Authors
  1. Sohrab Prakash Shah
    95 Shah
  2. Hongyu Shi
    15 Shi
  3. Nicole Rusk
    13 Rusk
  4. Sohrab Salehi
    10 Salehi
  5. Adam Weiner
    9 Weiner