| Title: | Discovery of characteristic molecular signatures for the simultaneous prediction and detection of environmental pollutants |
| Author(s): | Song MK; Choi HS; Park YK; Ryu JC; |
| Address: | "Center for Integrated Risk Research, Cellular and Molecular Toxicology Laboratory, Korea Institute of Science and Technology (KIST), P.O. Box 131, Cheongryang, Seoul, Republic of Korea" |
| Journal Title: | Environ Sci Pollut Res Int |
| DOI: | 10.1007/s11356-013-2198-4 |
| ISSN/ISBN: | 1614-7499 (Electronic) 0944-1344 (Linking) |
| Abstract: | "Gene expression data may be very promising for the classification of toxicant types, but the development and application of transcriptomic-based gene classifiers for environmental toxicological applications are lacking compared to the biomedical sciences. Also, simultaneous classification across a set of toxicant types has not been investigated extensively. In the present study, we determined the transcriptomic response to three types of ubiquitous toxicants exposure in two types of human cell lines (HepG2 and HL-60), which are useful in vitro human model for evaluation of toxic substances that may affect human hepatotoxicity (e.g., polycyclic aromatic hydrocarbon [PAH] and persistent organic pollutant [POP]) and human leukemic myelopoietic proliferation (e.g., volatile organic compound [VOC]). The findings demonstrate characteristic molecular signatures that facilitated discrimination and prediction of the toxicant type. To evaluate changes in gene expression levels after exposure to environmental toxicants, we utilized 18 chemical substances; nine PAH toxicants, six VOC toxicants, and three POP toxicants. Unsupervised gene expression analysis resulted in a characteristic molecular signature for each toxicant group, and combination analysis of two separate multi-classifications indicated 265 genes as surrogate markers for predicting each group of toxicants with 100 % accuracy. Our results suggest that these expression signatures can be used as predictable and discernible surrogate markers for detection and prediction of environmental toxicant exposure. Furthermore, this approach could easily be extended to screening for other types of environmental toxicants" |
| Keywords: | Biomarkers Cell Survival/drug effects Environmental Pollutants/analysis/*toxicity *Gene Expression Profiling HL-60 Cells Hep G2 Cells Humans Hydrocarbons/analysis/*toxicity Volatile Organic Compounds/analysis/*toxicity; |
| Notes: | "MedlineSong, Mi-Kyung Choi, Han-Seam Park, Yong-Keun Ryu, Jae-Chun eng Research Support, Non-U.S. Gov't Germany 2013/11/08 Environ Sci Pollut Res Int. 2014 Feb; 21(4):3104-15. doi: 10.1007/s11356-013-2198-4. Epub 2013 Nov 7" |
