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Kevin Chipman

Publications and source records attributed to Kevin Chipman.

3 recordsLinked to original sources

Gene ontology mapping as an unbiased method for identifying molecular pathways and processes affected by toxicant exposure: application to acute effects caused by the rodent non-genotoxic carcinogen diethylhexylphthalate.

Toxicogenomics has the potential to reveal the molecular pathways and cellular processes that mediate the adverse responses to a toxicant. However, the initial output of a toxicogenomic experiment often consists of large lists of genes whose expression is altered after toxicant exposure. To interpret gene expression changes in the context of underlying biological pathways and processes, new bioinformatics methods must be developed. We have used global gene expression profiling combined with an evaluation of Gene Ontology (GO) and pathway mapping tools as unbiased methods for identifying the molecular pathways and processes affected upon toxicant exposure. We chose to use the acute effects caused by the non-genotoxic carcinogen and peroxisome proliferator (PP) diethylhexylphthalate (DEHP) in the mouse liver as a model system. Consistent with what is known about the mode of action of DEHP, our GO analysis of transcript profiling data revealed a striking overrepresentation of genes associated with the peroxisomal cellular component, together with genes involved in carboxylic acid and lipid metabolism. Furthermore we reveal gene expression changes associated with additional biological functions, including complement activation, hemostasis, the endoplasmic reticulum overload response, and circadian rhythm. Together, these data reveal potential new pathways of PP action and shed new light on the mechanisms by which non-genotoxic carcinogens control hepatocyte hypertrophy and proliferation. We demonstrate that GO mapping can identify, in an unbiased manner, both known and novel DEHP-induced molecular changes in the mouse liver and is therefore a powerful approach for elucidating modes of toxicity based on toxicogenomic data.

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Functional analysis of xenobiotic response elements (XREs) in CYP 1A of the European Flounder (Platichthys flesus).

The induction of hepatic cytochrome P450 1A (CYP 1A) is an important step in the response to contaminants such as polycyclic aromatic hydrocarbons (PAHs), and has been used as a biomarker of exposure in fish. Several consensus response elements have been identified, including eight potential xenobiotic response elements (XREs) in the promoter region of the European flounder cytochrome P450 1A gene. However not all of these sequences are necessarily active. To help elucidate the molecular regulation of this important gene, site directed mutagenesis and dual-luciferase reporter gene assays were employed to characterize the consensus transcription factor binding sites of the CYP 1A 5' flanking region. Mutation of response elements situated -1103, -859, -709 and -172 bases upstream of the transcription start site reduced the induction to 2.75, 1.51, 3.25 and 3.05 fold, respectively, compared with the full-length promoter (4.0-fold induction) on exposure to the PAH 3-methylcholanthrene (3MC) (1.0 microM). These results indicate that four out of eight different XREs are functional in the control of CYP 1A in the flounder. The activity of these response elements adds to the evidence for considerable diversity in vertebrate CYP 1A regulation.

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Isolation of differentially expressed genes from contaminant exposed European flounder by suppressive, subtractive hybridisation.

Commercially farmed European flounder (Platichthys flesus) were treated with benzo[a]pyrene or cadmium under controlled laboratory conditions. In addition, animals were collected from the polluted Tyne and relatively clean Alde estuaries in the UK. Potential differentially expressed genes were isolated from liver tissue by means of suppressive, subtractive hybridisation. A total of 284 different mRNAs were identified as having the potential for being differentially expressed, of which 84 could be tentatively identified by homology with database sequences. These clones will form part of a flounder cDNA array for validation and future applications, with full identification being pursued for those expressed sequence tags for which differential expression can be confirmed by array technology.

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