Abstract
Dieldrin is an environmental contaminant that adversely affects aquatic organisms. The data presented in this study are proteomic data collected in liver of zebrafish that were exposed to the pesticide in a dietary exposure. For label free proteomics, data were collected with a quadrupole Time-of-Flight mass spectrometer and for iTRAQ proteomics, data were acquired using a hybrid quadrupole Orbitrap (Q Exactive) MS system. Using formic acid digestion and label free proteomics, 2,061 proteins were identified, and among those, 103 were differentially abundant (p < 0.05 in at least one dose). In addition, iTRAQ proteomics identified 722 proteins in the liver of zebrafish following dieldrin treatment. The label-free approach identified 21 proteins that followed a dose dependent response. Of the differentially abundant proteins identified by iTRAQ, there were 26 unique expression patterns for proteins based on the three doses of dieldrin. Proteins were queried for disease networks to learn more about adverse effects in the liver following dieldrin exposure. Differentially abundant proteins were related to metabolic disease, steatohepatitis and lipid metabolism disorders, drug-induced liver injury, neoplasms, tissue degeneration and liver metastasis. The proteomics data described here is associated with a research article, “Label-free and iTRAQ proteomics analysis in the liver of zebrafish (Danio rerio) following a dietary exposure to the organochlorine pesticide dieldrin” (Simmons et al. 2019). This investigation reveals new biomarkers of toxicity and will be of interest to those studying aquatic toxicology and pesticides.
Highlights
The proteomics data described here is associated with a research article, “Label-free and iTRAQ proteomics analysis in the liver of zebrafish (Danio rerio) following a dietary exposure to the organochlorine pesticide dieldrin” (Simmons et al 2019)
Raw and analyzed Samples were digested with trypsin and subjected to strong cation exchange (SCX) fractionation prior to iTRAQ analysis, while for label-free, samples were digested with formic acid with no fractionation prior to reverse phase liquid chromatography separation
Discovery of hepatic proteins that are responsive to the organochlorine pesticide dieldrin Framework for understanding disease networks perturbed by organochlorine pesticides
Summary
Connective Tissue Diseases smooth muscle hypertrophy tissue degeneration recurrent infection. For iTRAQ proteomics, the number of disease networks identified as differentially expressed based on protein abundance changes in the LOW, MED, and HIGH dose treatments of DLD were as follows: 58, 48, and 49 respectively (Supplemental Data 3). Based on the iTRAQ proteomics, there were 6 common disease elements identified across all three groups ["LOW DLD", "MED DLD" and "HIGH DLD"] (Fig. 1). These six common disease networks, affected independent of dose were seizure susceptibility, reflex epilepsy, mucosal damage, cerebellar ataxia, cartilage loss, and erythema. For iTRAQ proteomes, labeled peptides were desalted with C18-solid phase extraction and dissolved in strong cation exchange (SCX) solvent A (25% (v/v) acetonitrile, 10 mM ammonium formate, and 0.1% (v/v) formic acid, pH 2.8). Each sample fraction was loaded onto an Acclaim Pepmap 100 pre-column (20 mm  75 mm; 3 mm-C18) and separated on a PepMap RSLC analytical column (250 mm  75 mm; 2 mm-C18) at a flow rate at 350 nl/min during a linear gradient from solvent A (0.1% formic acid (v/v)) to 25% solvent B (0.1% formic acid (v/v) and 99.9% acetonitrile (v/v)) for 80 min, and to 100% solvent B for additional 15 min
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