Classification of Biological Effect of 1,763 MHz Radiofrequency Radiation Based on Gene Expression Profiles.

Im,  Chang Nim; Kim,  Eun Hye; Park,  Ae Kyung; Park,  Woong Yang

doi:2010.8.1.34

Genomics Inform > Volume 8(1); 2010 > Article

Original Article

Genomics & Informatics 2010;8(1): 34-40.

DOI: https://doi.org/10.5808/gi.2010.8.1.034

Classification of Biological Effect of 1,763 MHz Radiofrequency Radiation Based on Gene Expression Profiles.

Chang Nim Im, Eun Hye Kim, Ae Kyung Park, Woong Yang Park

Genomics Core Laboratory and Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 110-799, Korea. wypark@snu.ac.kr

Abstract

Radiofrequency (RF) radiation might induce the transcription of a certain set of genes as other physical stresses like ionizing radiation and UV. To observe transcriptional changes upon RF radiation, we exposed WI-38, human lung fibroblast cell to 1763 MHz of mobile phone RF radiation at 60 W/kg of specific absorption rate (SAR) for 24h with or without heat control. There were no significant changes in cell numbers and morphology after exposure to RF radiation. Using quantitative RT-PCR, we checked the expression of three heat shock protein (HSP) (HSPA1A, HSPA6 and HSP105) and seven stress-related genes (TNFRSF11B, FGF2, TGFB2, ITGA2, BRIP1, EXO1, and MCM10) in RF only and RF/HS groups of RF-exposed cells. The expressions of three heat shock proteins and seven stress-related genes were selectively changed only in RF/HS groups. Based on the expression of ten genes, we could classify thermal and non-thermal effect of RF-exposure, which genes can be used as biomarkers for RF radiation exposure.

Keywords: biomarker; heat shock; quantitative RT-PCR; radiofrequency radiation