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Recruitment Kinetics of XRCC1 and RNF8 Following MeV Proton and α-Particle Micro-Irradiation.
Muggiolu, Giovanna; Torfeh, Eva; Simon, Marina; Devès, Guillaume; Seznec, Hervé; Barberet, Philippe.
Afiliação
  • Muggiolu G; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
  • Torfeh E; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
  • Simon M; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
  • Devès G; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
  • Seznec H; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
  • Barberet P; University Bordeaux, CNRS, LP2I, UMR 5797, 33170 Gradignan, France.
Biology (Basel) ; 12(7)2023 Jun 27.
Article em En | MEDLINE | ID: mdl-37508352
ABSTRACT
Time-lapse fluorescence imaging coupled to micro-irradiation devices provides information on the kinetics of DNA repair protein accumulation, from a few seconds to several minutes after irradiation. Charged-particle microbeams are valuable tools for such studies since they provide a way to selectively irradiate micrometric areas within a cell nucleus, control the dose and the micro-dosimetric quantities by means of advanced detection systems and Monte Carlo simulations and monitor the early cell response by means of beamline microscopy. We used the charged-particle microbeam installed at the AIFIRA facility to perform micro-irradiation experiments and measure the recruitment kinetics of two proteins involved in DNA signaling and repair pathways following exposure to protons and α-particles. We developed and validated image acquisition and processing methods to enable a systematic study of the recruitment kinetics of GFP-XRCC1 and GFP-RNF8. We show that XRCC1 is recruited to DNA damage sites a few seconds after irradiation as a function of the total deposited energy and quite independently of the particle LET. RNF8 is recruited to DNA damage sites a few minutes after irradiation and its recruitment kinetics depends on the particle LET.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article