DOI: 10.20348/storedb/1163/1252
title: Data collection and analysis on low dose hyper-radiosensitivity and induced radio-resistance
title: Second version of the database with 101 datasets from 46 articles published between 1993 and 2021

description: There are hardly any raw experimental data which is easily available in the field of low dose hyper-radiosensitivity and induced radioresistance research. This is especially important in the case of mathematical modelling, where researchers usually do not perform experiments, but they would like to compare their results to the actual behaviour of the cells. The aim of this study is to collect datasets featuring experiments with various cell cultures showing hyper-radiosensitivity and induced radioresistance from published articles. The data are collected by manually reading each data point from the figures of the articles. If you publish your research using this database, please cite the following reference: Polgár, Sz., Schofield, P.N., Madas, B.G., 2022. Datasets of <i>in vitro</i> clonogenic assays showing low dose hyper-radiosensitivity and induced radioresistance. Sci Data 9, 555. https://doi.org/10.1038/s41597-022-01653-3 Acknowledgements This study is part of a project that has received funding from the Euratom research and training programme 2019-2020 under grant agreement No 900009. The study was also supported by the Hungarian Research Data Alliance and the Library and Information Centre of the Hungarian Academy of Sciences (21-61), the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (BO-37-2021), and the ÚNKP-21-5 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund (ÚNKP-21-5-BME-387).
description: The second version of the database contains 101 datasets collected from 46 articles. The oldest article was published in 1993, and the newest in 2021. In each case, an identification number, the authors, the title, the year of publication, the digital object identifier (DOI), and the exact figure where the data was acquired from is given in column A. One dataset contains the surviving fraction of the cell culture (column C) at a given dose in Gy (column B) and the minimum (column D) and maximum value (column E) of the whiskers of the uncertainty of the surviving fraction. The parameters of the fitted function are also recorded if they are given in the article, either parameters of the Linear-Quadratic (LQ) model or the Induced Repair (IR) model or both. The fit type is given in column G. From column H to column X, different parameters (columns H, L, P, Q, U) are given with their standard deviations (columns I, M, R, V) or confidence limits (columns J, K, N, O, S, T, W, X). In column H, α refers to the LQ fit, while α<sub>r</sub> to the IR fit. If there are parameters or values which are not given in the articles (or no fits were made), then it is indicated with an X symbol. If the parameters has no meaning for the given fit (for example the LQ model has only two parameters, α and β, so the others are not applicable), a - symbol is used. Red colour denotes those parameter values which we could not reproduce by fitting the models to the data collected. Properties of the cell line and characteristics of the irradiation are recorded in column Z and column AA, respectively. The following articles were used to create the second version of the database: https://doi.org/10.1080/09553009314450831 https://doi.org/10.2307/3578255 https://doi.org/10.2307/3578779 https://doi.org/10.2307/3579043 https://doi.org/10.2307/3579302 https://doi.org/10.1016/S0027-5107(96)00118-2 https://doi.org/10.1080/095530099139214 https://doi.org/10.1080/095530099139908 https://doi.org/10.1016/S0360-3016(00)01471-1 https://doi.org/10.1080/09553000210166606 https://doi.org/10.1093/oxfordjournals.rpd.a006772 https://doi.org/10.1093/oxfordjournals.rpd.a006777 https://doi.org/10.1667/RR3013 https://doi.org/10.1080/0955300021000045646 https://doi.org/10.1667/RR3060 https://doi.org/10.1002/ijc.11033 https://doi.org/10.1667/RR3130 https://doi.org/10.1016/j.ijrobp.2003.09.053 https://doi.org/10.1016/j.nimb.2005.11.120 https://doi.org/10.1667/RR3553.1 https://doi.org/10.1667/RR0776.1 https://doi.org/10.1269/jrr.07093 https://doi.org/10.1186/1748-717X-3-19 https://doi.org/10.1007/s00411-007-0145-9 https://doi.org/10.1667/RR1717.1 https://doi.org/10.3109/09553000903242107 https://doi.org/10.1007/s11596-009-0122-4 https://doi.org/10.1016/j.ijrobp.2010.01.028 https://doi.org/10.1259/bjr/33201506 https://doi.org/10.3109/09553002.2012.646046 https://doi.org/10.3109/09553002.2012.643274 https://doi.org/10.1093/jrr/rrs024 https://doi.org/10.1667/RR13358.1 https://doi.org/10.3109/09553002.2013.825061 https://doi.org/10.1016/j.ijrobp.2013.10.031 https://doi.org/10.7860/JCDR/2015/14120.6074 https://doi.org/10.1080/09553002.2016.1206235 https://doi.org/10.1016/j.dnarep.2015.12.001 https://doi.org/10.1158/1078-0432.CCR-18-0533 https://doi.org/10.1667/RR14208.1 https://doi.org/10.1016/j.dnarep.2021.103113 https://doi.org/10.1016/j.ijrobp.2009.04.088 https://doi.org/10.3389/fcell.2021.650819 https://doi.org/10.1016/j.nimb.2005.11.120 https://doi.org/10.1667/0033-7587(2000)154[0406:EOLDNA]2.0.CO;2 https://doi.org/10.1080/09553002.2017.1237057