Toxicological Research

Korean Society of Toxicology & Korea Environmental Mutagen Society (한국독성학회)
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Gene Expression Analysis of So Called Asian Dust Extracts in Human Acute Myeloid Leukemia Cells

  • Choi, You-Jin (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University) ;
  • Yin, Hu-Quan (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University) ;
  • Park, Eun-Jung (College of Pharmacy, Dongduk Women's University) ;
  • Park, Kwang-Sik (College of Pharmacy, Dongduk Women's University) ;
  • Kim, Dae-Seon (Department of Environmental Health and Safety, National Institute of Environmental Research) ;
  • Lee, Byung-Hoon (College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University)
  • Published : 2010.03.04
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Abstract

As the frequency and the intensity of so called Asian dust (AD) events have increased, public concerns about the adverse health effects has spiked sharply over the last two decades. Despite the recent reports on the correlation between AD events and the risk for cardiovascular and respiratory disease, the nature of the toxicity and the degree of the risk are yet largely unknown. In the present study, we investigated the effects of the dichloromethane extract of AD (AD-X) and that of urban dust (NAD-X) collected during a non-AD period on gene expression in HL-60 cells using Illumina Sentrix HumanRef-8 Expression BeadChips. Global changes in gene expression were analyzed after 24 h of incubation with 50 or 100 ${\mu}g$/ml AD-X and NAD-X. By one-way analysis of variance (p < 0.05) and Benjamini-Hochberg multiple testing correction for false discovery rate of the results, 573 and 297 genes were identified as AD-X- and NAD-X-responsive, respectively. The genes were classified into three groups by Venn diagram analysis of their expression profile, i.e., 290 AD-X-specific, 14 NAD-X-specific, and 283 overlapping genes. Quantitative realtime PCR confirmed the changes in the expression levels of the selected genes. The expression patterns of five genes, namely SORL1, RABEPK, DDIT4, AZU1, and NUDT1 differed significantly between the two groups. Following rigorous validation process, these genes may provide information in developing biomarker for AD exposure.

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References

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