Doctoral School of Physics, ELTE Eötvös Loránd University, Budapest, Hungary.
Environmental Physics Department, Centre for Energy Research, Budapest, Hungary.
Sci Data. 2022 Sep 8;9(1):555. doi: 10.1038/s41597-022-01653-3.
Low dose hyper-radiosensitivity and induced radioresistance are primarily observed in surviving fractions of cell populations exposed to ionizing radiation, plotted as the function of absorbed dose. Several biophysical models have been developed to quantitatively describe these phenomena. However, there is a lack of raw, openly available experimental data to support the development and validation of quantitative models. The aim of this study was to set up a database of experimental data from the public literature. Using Google Scholar search, 46 publications with 101 datasets on the dose-dependence of surviving fractions, with clear evidence of low dose hyper-radiosensitivity, were identified. Surviving fractions, their uncertainties, and the corresponding absorbed doses were digitized from graphs of the publications. The characteristics of the cell line and the irradiation were also recorded, along with the parameters of the linear-quadratic model and/or the induced repair model if they were provided. The database is available in STORE, and can be used for meta-analysis, for comparison with new experiments, and for development and validation of biophysical models.
低剂量超敏感性和诱导辐射抗性主要在暴露于电离辐射的细胞群体的存活分数中观察到，作为吸收剂量的函数进行绘制。已经开发了几种生物物理模型来定量描述这些现象。然而，缺乏原始的、公开可用的实验数据来支持定量模型的开发和验证。本研究的目的是建立一个从公共文献中提取实验数据的数据库。使用 Google Scholar 搜索，确定了 46 篇具有 101 个数据集的关于存活分数与剂量依赖性的出版物，这些数据集都有明确的低剂量超敏感性证据。从出版物的图表中数字化了存活分数、它们的不确定性以及相应的吸收剂量。还记录了细胞系的特征以及照射情况，以及线性二次模型和/或诱导修复模型的参数（如果提供的话）。该数据库可在 STORE 中使用，可用于荟萃分析、与新实验进行比较以及开发和验证生物物理模型。
