JOURNAL ARTICLE

Single-cell DNA sequencing—a potential dosimetric tool.

  • Published In: Radiation Protection Dosimetry, 2023, v. 199, n. 15. P. 2047 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Mathew, Felix; Manalad, James; Yeo, Jonathan; Galarneau, Luc; Ybarra, Norma; Wang, Yu Chang; Tonin, Patricia N; Ragoussis, Ioannis; Kildea, John 3 of 3

Abstract

This article focuses on investigating the potential of single-cell whole-genome DNA sequencing to detect dose-dependent mutational effects in human cells exposed to ionising radiation (IR). Using a Monte Carlo simulation with a custom geometric nuclear DNA model in TOPAS-nBio, the study predicted a linear increase in complex double-strand break (DSB) clusters per cell with increasing radiation dose. Complementary in vitro experiments irradiated human B-lymphoblastoid cells with photons and analyzed approximately 600 individual cells via single-cell whole-genome sequencing, revealing a comparable dose-dependent increase in copy number losses per cell. Although the simulation and experimental conditions differed and the parameters measured were not directly equivalent, the preliminary results suggest that single-cell sequencing can sensitively capture radiation-induced genomic alterations, offering an alternative approach to studying radiation-associated mutational signatures beyond tumor sample analysis.

Additional Information

  • Source:Radiation Protection Dosimetry. 2023/10, Vol. 199, Issue 15, p2047
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:01448420
  • DOI:10.1093/rpd/ncad055
  • Accession Number:172915493
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