Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human HepG2 cells exposed to 2,3-Dimethoxy-1,4-naphthoquinone (DMNQ), N-nitrosodimethylamine (DMN), phenol and six heavy metals

ABSTRACT: From the results of gene expression analyses of HepG2 under the exposure of 2,3-Dimethoxy-1,4-naphthoquinone (DMNQ), N-nitrosodimethylamine (DMN), phenol and six heavy metals We showed that biological action of six heavy metals were clearly related to that of DMNQ and distinguishable from the other chemicals. These results suggest that oxidative stress is major apparent biological action of high dose heavy metals, supporting the previous reports. Experiment Overall Design: Using Affymetrix HG-Focus arrays, we compared the gene expression patterns of Hep G2 cells induced by six heavy metals (As, Cd, Ni, Sb, Hg or Cr) with that of DMNQ, DMN or phenol, and evaluated the toxicities of these heavy metals.

ORGANISM(S): Homo sapiens

SUBMITTER: Koji Kawata

PROVIDER: E-GEOD-6907 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Classification of heavy-metal toxicity by human DNA microarray analysis.

Kawata Koji K Yokoo Hiroyuki H Shimazaki Ryuhei R Okabe Satoshi S

Environmental science & technology 20070501 10

Microarray technology is proving to be a useful tool to classify undefined environmental toxicants, to investigate underlying mechanisms of toxicity, and to identify candidate toxicant-specific genetic markers by examining global effects of putative toxicants on gene expression profiles. The aim of this study was to evaluate the toxicities of six heavy metals through the comparison with gene expression patterns induced by well-known chemicals. For this purpose, we first identified the genes alte ...[more]

PMID: 17547211

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Project description:Heavy metals residue in the natural ecosystem had become one global environmental problem that was eager to solve. Due to the non-biodegradability, organism could deposit excessive heavy metals elements into tissues. Existing literature proposed that prolonged heavy metals enrichment had comprehensive toxicity to multi-organs of vertebrates. However, little research focus on the molecular mechanism for the hepatotoxicity of heavy metal enrichment to Chiroptera. In the present study, ten Hipposideros armiger individuals from Yingde City (YD, relatively pollution-free) and Chunwan City (CW, excessive heavy metals emission) were dissected while environment samples were also obtained. To corroborate the toxicity mechanism of heavy metals to bats liver, multi-omics, pathology and molecular biology methods were performed. Our results showed that more Cd and Pb elements were significantly enriched in bats liver and food sources in the CW group. In addition, prolonged heavy metals accumulation disturbed the hepatic transcription profiling associated with solute carriers family, ribosome pathway, ATP usage and heat shock proteins. Excessive heavy metals enrichment also altered the relative abundance of typical gut microbe taxa to inhibit the tight-junction protein expression. We also found that the levels of superoxide dismutase, glutathione peroxidase and glutathione were decreased while ROS density and malondialdehyde content were elevated after excessive heavy metals enrichment. Besides, hepatic fat accumulation and inflammation injury were also observed under the excessive heavy metals enrichment while the metabolism biomarkers contents were decreased. Therefore, prolonged heavy metals enrichment would induce a series of hepatotoxicity by disturbing the microbes-gut-liver axis and hepatic transcription modes, which could decrease the overall metabolism level in bats. Our study provided protection strategy for biodiversity conservation and raised public attention to environment pollution.

Dataset Information

Transcription profiling of human HepG2 cells exposed to 2,3-Dimethoxy-1,4-naphthoquinone (DMNQ), N-nitrosodimethylamine (DMN), phenol and six heavy metals

Publications

Classification of heavy-metal toxicity by human DNA microarray analysis.

Similar Datasets

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