Song, Mi-Kyung Choi, Han-Seam Park, Yong-Keun Ryu, Jae-Chun 2024-01-20T10:33:07Z 2024-01-20T10:33:07Z 2021-09-04 2014-02 0944-1344 https://pubs.kist.re.kr/handle/201004/127195 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. English SPRINGER HEIDELBERG POLYCYCLIC AROMATIC-HYDROCARBONS PERSISTENT ORGANIC POLLUTANTS EXPRESSION ANALYSIS CHEMICAL GENOMICS TOXICOGENOMICS TOXICOLOGY TOXICITY PROFILES EXPOSURE CANCER Discovery of characteristic molecular signatures for the simultaneous prediction and detection of environmental pollutants Article 10.1007/s11356-013-2198-4 1 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, v.21, no.4, pp.3104 - 3115 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 21 4 3104 3115 scie scopus 000331815100064 2-s2.0-84893804324 Environmental Sciences Environmental Sciences & Ecology Article POLYCYCLIC AROMATIC-HYDROCARBONS PERSISTENT ORGANIC POLLUTANTS EXPRESSION ANALYSIS CHEMICAL GENOMICS TOXICOGENOMICS TOXICOLOGY TOXICITY PROFILES EXPOSURE CANCER Molecular signature Polycyclic aromatic hydrocarbons Volatile organic compounds Persistent organic pollutants Transcriptomics Microarray