Supplementary MaterialsSupplementary material mmc1. how such devices affect the majority of its users .? Improved perception of the effects of mobile phone electromagnetic radiation in humans can contribute to improved safety guidelines for the use of this device and help combat long standing misconceptions on mobile phone radiation , , , .? Establishing the relevance and efficacy of exposure levels and of the biomarker assessment method herein described can help in the determination of a genotoxicity-based model of observation and thus promote the development of new methods. 1.?Data Overall micronucleus frequency in the study population (2.02 (1.65) per 2000 IL1F2 cells) was found to be within currently accepted physiological ranges . Lifestyle factors assessed in subjects were not shown to affect the frequency of this genotoxicity biomarker, with the exception of occupational exposure to known genotoxic agents (Fig. 1). Daily duration, side of use and history of mobile phone in years (Fig. 2) did not correlate to higher micronucleus frequencies. Open in a separate window Fig. 1 Density plot of micronuclei frequency in subjects exposed and non-exposed to known genotoxic agents. Open in a separate window Fig. 2 Micronuclei frequency distribution by history of mobile phone use in years. 2.?Experimental design, materials and methods Buccal exfoliated cells were collected using sterile endobrushes followed by a smearing technique on histological slides. Cells were fixated with an ethanol-based solution, air-dried and stained according to Feulgen’s method . Mounted slides were screened by a singleobserver at a 1000x magnification with immersion oil TG-101348 novel inhibtior and morphological objects within accepted intervals for micronuclei were counted in the first valid 2000 cells observed , , . A spreadsheet containing subject characteristics and micronuclei frequencies was used TG-101348 novel inhibtior as database for statistical analysis using the Wilcoxon as well as the KruskalCWallis nonparametric testing , , . Acknowledgements The writers TG-101348 novel inhibtior say thanks to Prof. Dr. Lus M. Correia, who provided his experience of telecommunication rays; Miguel M. Santos, who aided with statistical evaluation; and George Seed, who provided support in data graph and formatting creation. Footnotes Transparency documentSupplementary data connected with this article are available in the online edition at doi:10.1016/j.dib.2017.09.048. Transparency record.?Supplementary materials Supplementary material Just click here to see.(918K, zip) ..