Single-cell DNA replication dynamics in genomically unstable cancers.

DNA replication genomic instability single-cell whole genome sequencing

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
23 Sep 2023
Historique:
pubmed: 24 4 2023
medline: 24 4 2023
entrez: 24 04 2023
Statut: epublish

Résumé

Dysregulated DNA replication is both a cause and a consequence of aneuploidy, yet the dynamics of DNA replication in aneuploid cell populations remains understudied. We developed a new method, PERT, for inferring cell-specific DNA replication states from single-cell whole genome sequencing, and investigated clone-specific DNA replication dynamics in >50,000 cells obtained from a collection of aneuploid and clonally heterogeneous cell lines, xenografts and primary cancer tissues. Clone replication timing (RT) profiles correlated with future copy number changes in serially passaged cell lines. Cell type was the strongest determinant of RT heterogeneity, while whole genome doubling and mutational process were associated with accumulation of late S-phase cells and weaker RT associations. Copy number changes affecting chromosome X had striking impact on RT, with loss of the inactive X allele shifting replication earlier, and loss of inactive Xq resulting in reactivation of Xp. Finally, analysis of time series xenografts illustrate how cell cycle distributions approximate clone proliferation, recapitulating expected relationships between proliferation and fitness in treatment-naive and chemotherapeutic contexts.

Identifiants

pubmed: 37090647
doi: 10.1101/2023.04.10.536250
pmc: PMC10120671
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : K99 CA277562
Pays : United States
Organisme : NHGRI NIH HHS
ID : RM1 HG011014
Pays : United States
Organisme : NCI NIH HHS
ID : F31 CA271673
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : K99 CA256508
Pays : United States

Déclaration de conflit d'intérêts

Competing interests S.P.S. and S.A. are shareholders of Imagia Canexia Health Inc. S.P.S. has an advisory role to AstraZeneca Inc. All relationships are outside the scope of this work.

Auteurs

Adam C Weiner (AC)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.

Marc J Williams (MJ)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Hongyu Shi (H)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Gerstner Sloan Kettering Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Ignacio Vázquez-García (I)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Sohrab Salehi (S)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Nicole Rusk (N)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Samuel Aparicio (S)

Department of Molecular Oncology, British Columbia Cancer, Vancouver, BC, Canada.
Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Sohrab P Shah (SP)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Andrew McPherson (A)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Classifications MeSH