Dataset of liver proteins of eu- and hypothyroid rats affected in abundance by any of three factors: in vivo exposure to hexabromocyclododecane (HBCD), thyroid status, gender differences

Male Wistar rats with different thyroid status (eu-, hypothyroid) were exposed to 0, 3 or 30 mg/kg body weight of the flame retardant HBCD for 7 days and obtained data compared with a previous study in females, “Hexabromocyclododecane (HBCD) induced changes in the liver proteome of eu- and hypothyroid female rats” (Miller et al., 2016) [1]. Specifically, proteomic investigation of liver protein patterns obtained by 2D-DIGE was performed and differences between animals groups recorded, based on the factors exposure, thyroid status and gender. All proteins with significantly changed abundance in any of these comparisons were identified by mass spectrometry. General, hormone and proteomic data of both the present and the previous studies are discussed in Miller et al. (2016) [1] and in "Gender specific differences in the liver proteome of rats exposed to hexabromocyclododecane (HBCD)" Miller et al. (2016) [2].


Subject area
Biology More specific subject area

Environmental Toxicology
Type of data Tables, figure (PCA), image (annotated gel image) How data was acquired 2D Fluorescence Difference Gel Electrophoresis (2D-DIGE) and mass spectrometry Data format Analyzed, filtered Experimental factors Liver lysates of eu-and hypothyroid male and female rats exposed to different concentrations of HBCD Experimental features Comparative proteomic analysis of rat liver lysates using 2D-DIGE. Proteins present in differentially abundant protein spots (regarding HBCD exposure, amount, thyroid status, and gender) were identified using MALDI TOF/TOF analysis.

Data source location
Origin of samples: Wageningen University, Wageningen, The Netherlands Data collection: Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg Data accessibility Data is with this article

Value of the data
Identification of baseline differences in the liver proteome between genders as the basis for future toxicological/pharmaceutical/mechanistic studies.
Identification of liver proteins from male rats altered due to HBCD exposure or in hypothyroid status.
Comparison of male and female rats exposed in a similar exposure experiment, but showing different responses in the liver proteome, will allow further targeting of proteins of interest.

Data
Patterns of 48 DIGE-gels with separations of liver protein lysates deriving from eu-and hypothyroid male and female rats of different HBCD exposures were evaluated. Differentially regulated spots in any of the group comparisons were subjected to MS identification, considering fold-changes of at least 30% between groups (Po 0.05 within group) as statistically relevant (master gel with labels of all 496 identified spots in Suppl. Fig. 1; peptide identifications in Suppl. Table 1). Data from different animal groups in both genders were compared, taking into account the different aspects HBCD exposure, thyroid status, and gender (abundance changes in Suppl. Table 2; hierarchical clustering of regulated data in Suppl. Fig. 2; PCA in Fig. 1, with additional identification of single proteins in the border area or close to the main cluster).

Animals, treatment and experimental protocol
The animal experiment was detailed in [1,2] and approved under number 2006-051 by the Animal Welfare Committee of Wageningen University. In brief, male Wistar WU (HsdCpbWU) rats with normal or reduced thyroid function (hypothyroid) were orally exposed to 0, 3 or 30 mg/kg bw/d HBCD, respectively, for 7 consecutive days. Four liver samples per group were analyzed by proteomic methods. The experimental setup was identical to the one used in [1], but applying it on male rats.

Proteomic analysis
Rat liver lysates were subjected to two-dimensional fluorescence difference gel electrophoresis (2D-DIGE) as previously described, without modifications, to make it compatible to the previously performed study in females [1][2][3]. This comprised a classical 2D-DIGE experiment, by separating CyDye-labeled proteins from liver lysates in a non-linear 3-10 pH-range and subsequently in largeformat SDS-PAGE gels (260 Â 200 Â 1 mm). Gel images (acquired on a Typhoon 9400) were evaluated with the DeCyder 7.0 software package (both GE Healthcare, Diegem, Belgium), including all gels of the previous study on females in matching and statistics [1,3]. Univariate and multivariate analyses were applied to highlight differentially regulated spots (fold change at least 1.3) with a P-value in the respective univariate ANOVA or two way ANOVA o0.05.  Spots differentially regulated in any of the group comparisons (including samples/gels from males and females) were automatically picked, trypsin digested and proteins identified by MALDI-TOF/TOF 5800 (Sciex) as previously described [1][2][3]. This also included spots from female rat livers previously not analyzed, as only now they were found regulated in the comparison with male rats' data. Protein identification was based on searches of mass fingerprints (PMF) and MS/MS spectra against the SwissProt database with "Rattus norvegicus" as taxonomy, using the ProteinPilot software (Sciex, Nieuwerkerk aan den Ijssel, The Netherlands) and the searching algorithm MASCOT (Matrix Science, www.matrixscience.com, London, UK). For each spot one protein mass fingerprint and up to 8 MS/MS spectra were generated. Parameters for the search were set as in the previous study [1,3]: up to two missed cleavages allowed, 100 ppm tolerance in PMF, 0.75 Da mass tolerance for precursor ion mass, carbamidomethyl cysteine as fixed modification, oxidation of methionine and oxidation of tryptophan (single oxidation, double oxidation and kynurenine) as variable modifications. Identifications were considered to be significant when the combined MOWSE score had Po0.05.
For statistics the Extended Data Analysis (EDA) module as well as univariate analysis (ANOVA and t-test) and multivariate analysis (two way ANOVA), all part of the Decyder 7.0 software package, were applied.

Transparency document. Supplementary material
Transparency data associated with this article can be found in the online version at http://dx.doi. org/10.1016/j.dib.2016.07.063.