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Kim, H. S.,Kim, Y. J.,Ahn, W. S.,Kwon, J. Y.,Seo, Y. R. THE KOREAN SOCIETY OF TOXICOGENOMICS AND TOXICOPRP 2016 MOLECULAR AND CELLULAR TOXICOLOGY Vol. No.
<P>Globally, ovarian cancer is responsible for approximately 125,000 deaths each year. Identifying the genetic contributions to ovarian cancer will lead to advances in diagnosis and therapy. Here we analyzed SNPs through genotyping in Korean serous ovarian cancer patients at stage Ilk for the purpose of applying a pathway analysis-based approach using candidate loci. The results of statistical analysis based on the Korean HapMap showed that a total of 759 SNPs had significant differences in ovarian cancer. Our biological pathway analysis included the comparison of all SNPs with SNPs of serous ovarian cancer patients in The Cancer Genome Atlas (TCGA) to identify the molecular pathway in Korean serous ovarian cancer. The results suggest that genetic alterations associated with these signaling pathways might contribute to the discovery of unique biomarkers for diagnostic predictor of Korean serous ovarian cancer at stage IIIc.</P>
Koedrith, Preeyaporn,Boonprasert, Rattana,Kwon, Jee Young,Kim, Im-Soon,Seo, Young Rok THE KOREAN SOCIETY OF TOXICOGENOMICS AND TOXICOPRP 2014 MOLECULAR AND CELLULAR TOXICOLOGY Vol.10 No.2
Concomitant with the increase in production and application of various nanomaterials, researches on their cytotoxic and genotoxic potential have become well established, as exposure to these nanoscaled materials may contribute to detrimental health effects. Positive indications of the damaging effects of nanoparticles on DNA are likely to be inconsistent in in vitro systems, and thus the implementation of in vivo investigations has been achieved. This review summarizes the current results, both in vitro and in vivo, of the genotoxic effects of potential metal or metal oxide nanoparticles, including the oxides of aluminium, iron, silica, titanium, and zinc, as well as silver, gold, cobalt, quantum dots, and so forth. They present indications of different types of DNA damage, ranging from chromosomal aberrations, through DNA strand breaks, oxidative DNA damage, to mutations. Their toxicological profiles are definitely associated with physicochemical characters, depending upon the characterization methods by which they are analyzed, in particular, microscopy techniques. Besides physicochemical properties, we also discuss significant parameters that may influence genotoxic response, including toxicity assays/endpoint tests, exposure duration and route of exposure, and experimental conditions. We describe advantages and disadvantages of particular characterization methods, as well as the appropriateness of methodologies for investigating physicochemical characters. Therefore, recommendations on particle characterization are further emphasized, to provide better understanding of genotoxic potential.
Kwon, Jee Young,Park, Moo Kyun,Seo, Young Rok,Song, Jae-Jun THE KOREAN SOCIETY OF TOXICOGENOMICS AND TOXICOPRP 2014 MOLECULAR AND CELLULAR TOXICOLOGY Vol.10 No.1
Otitis media (OM) is the most common inflammatory disease of the middle ear cavity. Several factors including viral and bacterial infection, biofilm formation, congenital anomalies, and environmental factors have been recognized as the main causes of OM. Recent epidemiological studies showed that children living in areas with high concentrations of air pollutant including particulate matter and $SO_2$ have significantly higher rates of OM compared with those in the control area. Another study reported that air pollutant exposure results in significant increases in pediatric OM. A large cohort study in Germany suggested that the prevalence of OM is related to air quality. Diesel exhaust particles (DEPs) are among the major toxic air pollutants of motor vehicle emissions. Hence, identifying the biomarkers of a signaling network for air pollutant (particularly DEPs)-mediated inflammatory responses would be meaningful. In this study, we identified novel biomarkers and potential molecular signaling networks induced by DEPs in human middle ear epithelial cells (HMEECs). Genomic expression analysis via microarray was used to discover novel biomarkers. A total of 254 genes were differentially expressed in DEPs-exposed HMEECs; 86 genes and 168 genes were up-and down-regulated, respectively. To verify reliable biomarkers and define meaningful signaling networks in the entire genome profiling, the in silico approach was applied. Based on genomic profiling analysis, we found several novel key molecular biomarkers, including SRC, MUC5AC, MUC2, MMP14, EIF1AK3, KITLG, NOD1, and TP53. Our findings suggested novel biomarkers for DEPs-responsive genes in HMEECs. Furthermore, we provided scientific evidence for the establishment of novel molecular signaling pathway associated with DEPs exposure in HMEECs.