In our studies, we used the environmentally important crustacean Hyalella azteca (H. azteca) as an invertebrate model and 17β-estradiol (E2) as a representative of environmental estrogenic endocrine disrupting compounds (EDCs) for proteomics-based investigations of endocrine disruptions in an aquatic ecosystem. Using liquid chromatography coupled with tandem mass spectrometry, our investigation focused for the first time on the recognition of biological and molecular events affected by E2 exposure with the long-term goal of identifying panels of potential biomarkers for environmental estrogenic endocrine disruption. We analyzed E2-induced changes in protein expressions in female and male H. azteca using label-free quantitative proteomics. With discovery-driven shotgun approach, we identified over 50 proteins that were affected by E2 in a sex-specific manner in our model organism. We selected four E2-regulated proteins (vitellogenin, cuticle protein CPR RR, titin and clumping factor A-like protein) for validation by parallel reaction monitoring-based targeted proteomics. Altogether, our proteomics studies have characterized for the first time E2-triggered endocrine disruption in H. azteca and recognized sex-specific changes in the male and female H. azteca's proteome after aquatic exposure to this estrogen. Through targeted proteomics, we were also able to quantitatively characterize a panel of selected proteins that showed distinctive sex-specific responses to this estrogen. We also mapped differentially expressed proteins to protein interaction networks and biological processes through Ingenuity® Pathway Analysis to indicate the future applicability of a bioinformatics-supported strategy focusing on potential environmental biomarker discovery and development using H. azteca as a model.
Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc2256704 |
Date | 12 1900 |
Creators | Prokai, Marcel Laszlo |
Contributors | Shulaev, Vladimir, Kunz, Daniel, Roberts, Aaron |
Publisher | University of North Texas |
Source Sets | University of North Texas |
Language | English |
Detected Language | English |
Type | Thesis or Dissertation |
Format | Text |
Rights | Public, Prokai, Marcel Laszlo, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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