A Bi-Exponential Repair Algorithm for Radiation-Induced Double-Strand Breaks: Application to Simulation of Chromosome Aberrations

Genes (Basel). 2019 Nov 16;10(11):936. doi: 10.3390/genes10110936.

Abstract

Background: Radiation induces DNA double-strand breaks (DSBs), and chromosome aberrations (CA) form during the DSBs repair process. Several methods have been used to model the repair kinetics of DSBs including the bi-exponential model, i.e., N(t) = N1exp(-t/τ1) + N2exp(-t/τ2), where N(t) is the number of breaks at time t, and N1, N2, τ1 and τ2 are parameters. This bi-exponential fit for DSB decay suggests that some breaks are repaired rapidly and other, more complex breaks, take longer to repair.

Methods: The bi-exponential repair kinetics model is implemented into a recent simulation code called RITCARD (Radiation Induced Tracks, Chromosome Aberrations, Repair, and Damage). RITCARD simulates the geometric configuration of human chromosomes, radiation-induced breaks, their repair, and the creation of various categories of CAs. The bi-exponential repair relies on a computational algorithm that is shown to be mathematically exact. To categorize breaks as complex or simple, a threshold for the local (voxel) dose was used.

Results: The main findings are: i) the curves for the kinetics of restitution of DSBs are mostly independent of dose; ii) the fraction of unrepaired breaks increases with the linear energy transfer (LET) of the incident radiation; iii) the simulated dose-response curves for simple reciprocal chromosome exchanges that are linear-quadratic; iv) the alpha coefficient of the dose-response curve peaks at about 100 keV/µm.

Keywords: DNA double-strand breaks; bi-exponential; chromosome aberrations; ionizing radiation; repair kinetics.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Chromosome Aberrations / radiation effects*
  • Computer Simulation
  • DNA Breaks, Double-Stranded / radiation effects*
  • DNA Repair / genetics*
  • Dose-Response Relationship, Radiation
  • Humans
  • Linear Energy Transfer / genetics
  • Models, Genetic*
  • Software