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Differential Gene Expression Profiling in Human Promyelocytic Leukemia Cells Treated with Benzene and Ethylbenzene  

Sarma, Sailendra Nath (Cellular and Molecular Toxicology Laboratory, Korea Institute of Science & Technology)
Kim, Youn-Jung (Cellular and Molecular Toxicology Laboratory, Korea Institute of Science & Technology)
Ryu, Jae-Chun (Cellular and Molecular Toxicology Laboratory, Korea Institute of Science & Technology)
Publication Information
Molecular & Cellular Toxicology / v.4, no.4, 2008 , pp. 267-277 More about this Journal
Abstract
Benzene and ethylbenzene (BE), the volatile organic compounds (VOCs) are common constituents of cleaning and degreasing agents, paints, pesticides, personal care products, gasoline and solvents. VOCs are evaporated at room temperature and most of them exhibit acute and chronic toxicity to human. Chronic exposure of benzene is responsible for myeloid leukemia and also ethylbenzene is also recognized as a possible carcinogen. To evaluate the BE effect on human, whole human genome 35 K oligonucleotide microarray were screened for the identification of the differential expression profiling. We identified 280 up-regulated and 201 down-regulated genes changed by more than 1.5 fold by BE exposure. Functional analysis was carried out by using DAVID bioinformatics software. Clustering of these differentially expressed genes were associated with immune response, cytokine-cytokine receptor interaction, toll-like signaling pathway, small cell lung cancer, immune response, apoptosis, p53 signaling pathway and MAPKKK cascade possibly constituting alternative or subordinate pathways of hematotoxicity and immune toxicity. Gene ontology analysis methods including biological process, cellular components, molecular function and KEGG pathway thus provide a fundamental basis of the molecular pathways through BEs exposure in human lymphoma cells. This may provides a valuable information to do further analysis to explore the mechanism of BE induced hematotoxicity.
Keywords
Benzene; Ethylbenzene; Oligomicroarray; Gene ontology; KEGG pathway; Hematotoxicity;
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