Mireia Borràs1, Gemma Armengol2, Martí De Cabo3, Joan-Francesc Barquinero2, Leonardo Barrios1. 1. a Unitat de Biologia Cel·lular, Departament de Biologia Cel·lular, Fisiologia i Immunologia , Universitat Autònoma de Barcelona , Bellaterra, Catalonia , Spain ; 2. b Unitat d'Antropologia Biològica, Departament de Biologia Animal, Biologia Vegetal i Ecologia , Universitat Autònoma de Barcelona , Bellaterra, Catalonia , Spain ; 3. c Servei de Microscòpia , Universitat Autònoma de Barcelona , Bellaterra, Catalonia , Spain.
Abstract
PURPOSE: The number of radio-induced double-strand breaks is correlated with the number of histone gamma-H2AX (γ-H2AX) foci. For this reason, foci quantification is a useful tool to measure radiation-induced DNA damage and the number of foci has been suggested as a predictive biomarker of radiosensitivity. The aim of the present study was to evaluate the reproducibility of different microscopic methodologies and flow cytometry analysis to score γ-H2AX induction, and its suitability to distinguish a radiosensitive (RS) cell line from a radioresistant (RR) one. MATERIALS AND METHODS: γ-H2AX analyses were performed by semi-automated and automated microscopic methods and by flow cytometry before and after irradiation in two human lymphoblastoid cell lines and in lymphocytes from three healthy donors. RESULTS: Reproducible results were obtained by all the methodologies tested, although not all showed the same sensitivity. The RS cell line always showed higher foci counts and higher levels of immunofluorescence intensity after irradiation than the RR cell line. CONCLUSIONS: Our results suggest that microscopic methodologies with z-stage capacity give the most accurate results after 1 Gy irradiation. However, for high doses of ionizing radiation, flow cytometry gives reliable results. Further studies will be necessary to determine the usefulness of γ-H2AX analysis to predict adverse side reactions in radiotherapy patients.
PURPOSE: The number of radio-induced double-strand breaks is correlated with the number of histone gamma-H2AX (γ-H2AX) foci. For this reason, foci quantification is a useful tool to measure radiation-induced DNA damage and the number of foci has been suggested as a predictive biomarker of radiosensitivity. The aim of the present study was to evaluate the reproducibility of different microscopic methodologies and flow cytometry analysis to score γ-H2AX induction, and its suitability to distinguish a radiosensitive (RS) cell line from a radioresistant (RR) one. MATERIALS AND METHODS: γ-H2AX analyses were performed by semi-automated and automated microscopic methods and by flow cytometry before and after irradiation in two human lymphoblastoid cell lines and in lymphocytes from three healthy donors. RESULTS: Reproducible results were obtained by all the methodologies tested, although not all showed the same sensitivity. The RS cell line always showed higher foci counts and higher levels of immunofluorescence intensity after irradiation than the RR cell line. CONCLUSIONS: Our results suggest that microscopic methodologies with z-stage capacity give the most accurate results after 1 Gy irradiation. However, for high doses of ionizing radiation, flow cytometry gives reliable results. Further studies will be necessary to determine the usefulness of γ-H2AX analysis to predict adverse side reactions in radiotherapy patients.
Authors: Nico Ruprecht; Martin N Hungerbühler; Ingrid B Böhm; Johannes T Heverhagen Journal: Radiat Environ Biophys Date: 2019-02-24 Impact factor: 1.925
Authors: Eric C Rouchka; Robert M Flight; Brigitte H Fasciotto; Rosendo Estrada; John W Eaton; Phani K Patibandla; Sabine J Waigel; Dazhuo Li; John K Kirtley; Palaniappan Sethu; Robert S Keynton Journal: Genom Data Date: 2015-12-01
Authors: Nicholas J Eustace; Joshua C Anderson; Catherine P Langford; Hoa Q Trummell; Patricia H Hicks; John S Jarboe; James A Mobley; Anita B Hjelmeland; James R Hackney; Rune T Pedersen; Kadia Cosby; G Yancey Gillespie; James A Bonner; Christopher D Willey Journal: Int J Oncol Date: 2019-03-29 Impact factor: 5.650