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Resources » Paper

Anbalagan, Charumathi et al. (2010) C. elegans: Development and Gene Expression, EMBL, Heidelberg, Germany "Stress-responses to single and mixtures of toxicants in transgenic strains of the nematode Caenorhabditis elegans."

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  • Comments on Anbalagan, Charumathi et al. (2010) C. elegans: Development and Gene Expression, EMBL, Heidelberg, Germany "Stress-responses to single and mixtures of toxicants in transgenic strains of the nematode Caenorhabditis elegans." (0)

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    Status:
    Publication type:
    Meeting_abstract
    WormBase ID:
    WBPaper00036773

    Anbalagan, Charumathi, Kourounioti, Melissa, Baillie, David, Loose, Matt, & dePomerai, David (2010). Stress-responses to single and mixtures of toxicants in transgenic strains of the nematode Caenorhabditis elegans presented in C. elegans: Development and Gene Expression, EMBL, Heidelberg, Germany. Unpublished information; cite only with author permission.

    Transcriptional control of the expression of stress responsive genes is central to a wide variety of stresses. Transcription factors are influenced b stresses such as heat shock, heavy metals, reactive oxygen species and so on. Thus, organisms exposed to these stressors activate various defensive stress responses mediated via cellular signalling pathways. Several studies reveal that there are overlaps in the genetic pathways responding to different environmental stresses. Therefore, pathways involving stress-response genes act in an integrated manner and hence constitute a Stress Response Network (SRN). Our study aims at understanding this network of stress response pathways. We have monitored GFP reporter-gene expression during chemical exposures in 24 transgenic strains of the nematode Caenorhabditis elegans. So far, output genes representing selected stress response pathways and their key transcription factors have been investigated in terms of their stress response patterns induced by heavy metals, herbicides and insecticides. Knockdown of specific transcription factors results in changes in the expression pattern of these genes, thus enabling us to identify regulatory cross-links. Also, reporter-gene outputs for mixtures of toxicants have been investigated. Bioinformatic analysis of the underlying gene circuits has allowed us to frame mathematical models of SRN behaviour based on the measured reporter expression patterns for these SRN genes. These studies should enable us to predict overall patterns of stress responses and identify particular hazards from toxicant mixtur es.


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