br Data Here we described the synergistic

Data Here, we described the synergistic anti-tumor effects of Selaginella tamariscina extract and amentoflavone combined with the doxorubicin hydrochloride treatment in mice. The combinatorial effects of Selaginella tamariscina extract (Fig. 1A) or amentoflavone (Fig. 1B) on the anti-tumor action of doxorubicin hydrochloride were evaluated. There is no statistical difference between the single treatment of doxorubicin and the combinatorial treatment of these phytochemicals and doxorubicin.
Experimental design, materials and methods
Acknowledgements This experiment was supported by the KIST Intramural Research grant (2Z04930, 2Z04610) and the Bio & Medical Technology Development Program of the National Research Foundation funded by the Ministry of Science, ICT & Future Planning (NRF-2016M3A9D3915857).
Data The US EPA HERO database [2] has made publically available a portion of the raw data from a 2011 publication by Boberg et al. [1] on the reproductive and behavioral effects of diisononyl phthalate (DINP) in perinatally exposed rats. Upon reanalysis of the available raw data using the statistical methods as originally reported in the Materials and Methods section of Boberg et al. [1], we were unable to confirm the reported statistical significance for one or more DINP dose groups for testes histopathology outcomes (Table 1), male anogenital distance (AGD) measurements (Fig. 2; Table 2), percent progressive sperm, sperm/g cauda, and atp citrate lyase inhibitor motility (Fig. 3).The statistically significant outcomes for testicular testosterone (Fig. 1) and nipple retention (Fig. 2) were consistent with those reported in Boberg et al. [1]. However, the mean and standard deviations for nipples in males for the highest DINP dose group were not confirmed (Table 1); and the testicular content values reported in the raw data file [2] are substantially different from the testicular content values reflected by the y-axis in Figure 2B of Boberg et al. [1]. This reanalysis reports outcomes according to our understanding of the statistical methodology as originally reported by Boberg et al. [1]. Supplementary material contains the statistical reanalysis for the dataset (Fig. 1).
Experimental design, materials and methods The raw data were made publically available from the US EPA HERO database [2] in connection with the US EPA IRIS DINP review. The statistical analysis was performed for all endpoints available in the raw data file [2] per the methodology described in Boberg et al. [1]. For testis histopathology, Table 1 in Boberg et al. [1] indicates one-sided Fisher׳s exact test, whereas the Materials and Methods indicates Fisher׳s exact test (one-sided) with p-value adjustments for multiple comparisons carried out by the ROM method [5]. Considering correction for multiple comparisons was included by Boberg et al. [1] in the statistical methods for AGD, sperm parameters, testosterone, and nipples, in this reanalysis we used Fisher׳s exact test (one-sided) against control group with p-value adjustments for multiple comparisons carried out by the ROM method [5]. When more than one pup from each litter was examined, statistical analyses was performed using litter as an independent, random and nested factor in ANOVA. Dunnett׳s test was performed to determine differences between treated and control group means. Data were examined to satisfy the assumption of normal distribution and homogeneity of variance for ANOVA test. These methods were applied to the raw data for testicular testosterone production ex vivo, testicular testosterone content, AGD, AGDi, and all sperm parameters. For AGD, the data analysis included body weight as a covariate in the analysis, to correct for the relationship between body size and AGD. AGDi was calculated by dividing AGD by the cubic root of the body weight. For the number of nipples, Table 3 footnote c in Boberg et al. [1] indicates ANOVA followed by the Dunnett׳s test, whereas generalized linear models in combination with generalized estimating equations (GEE) were described in the Materials and Methods section. In this reanalysis, we used generalized linear models in combination with GEE. The number of nipples were analyzed by generalized linear models in combination with GEE in order to account for the nested litter correlation, with p-value adjustments carried out by the ROM method [5].