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40 protocols using sigmaplot software

1

Statistical Analysis of Experimental Data

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Statistical analysis was performed using Sigmaplot software (12.0, IBM, Armonk, NY, USA). All graphical values were represented as the mean ± standard error. The t-test was used for statistical analysis. p < 0.05 was considered as statistically significant.
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2

Protective Effect of Artesunate in Bleomycin-Induced Mortality

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Statistical analyses were performed with Sigmaplot software (SPSS) version 17.0 software (IBM, Armonk, NY, USA). The data are presented as the mean ± standard deviation. Statistical differences were determined by two-way analysis of variance and P<0.05 was considered to indicate a statistically significant difference. I, ~25.64, 8.70 and 11.11% of the bleomycin group rats died within 7, 14 and 28 days after the administration of bleomycin, however, administration of artesunate reduced mortality to 20.51, 4.00 and 0.00% within 7, 14 and 28 days, respectively. The data demonstrated that the mortality rate was highest during the first 7 days after the administration of bleomycin. Following that, the mortality rate remained at ~10.00% in the bleomycin group, while the mortality rate reduced to 4.00% at 14 days. No mortality was observed between 14 and 28 days in the bleomycin+artesunate group. No mortality in the saline and artesunate group was observed during the whole experimental period. Notably, between 14 and 21 days, no mortality was found in all groups.
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3

Radiation Induced Cell Viability Analysis

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For radiation treatment, exponentially growing cells were seeded and incubated for 24 h before radiation exposure. The cells were irradiated under normoxic conditions. The irradiated cells were subsequently incubated for 4 days and analyzed for cell morphology with an IMT‐2 Olympus phase contrast microscope (Tokyo, Japan). For the viability study, the irradiated cells were incubated for 14 days and analyzed for cell survival by cell viability assay, as described previously.
43 (link) In brief, the surviving cells were fixed in Methanol for 10 min, visualized by staining with crystal violet (Sigma‐Aldrich, St. Louis, MO), scanned using an EPSON Perfection 4490PHOTO scanner, quantified by ImageJ (NIH) software,
44 and analyzed with SigmaPlot software (SPSS Inc, Palo Alto, CA).
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4

Statistical analysis of experimental data

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Statistical analyses were performed by use of SPSS v18.0 (SPSS Inc. Chicago, IL). Data were expressed as mean ± s.e.m. other than indicated in text. Data were plotted by SigmaPlot software (SPSS Inc., Chicago, IL).
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5

Drug Release Data Analysis

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Statistical analysis of the drug release studies was carried out using the SigmaPlot Software (Version 8.02 SPSS Inc., USA).
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6

Ethanol Metabolism Kinetics in Mice

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Eight-wk old WT and KO mice (n=6) were matched for body weight and administered with a single dose of 20% ethanol (5 g/kg, i.p.). Blood was collected at 0, 1, 3 and 24 h later by cardiac puncture and was immediately mixed with 2x volume of ice-cold 1.7N perchloric acid (PCA) solution to prevent the spontaneous formation of acetaldehyde. Following centrifugation at 15,000xg for 10 min at 4°C, de-proteinized supernatants were assayed immediately for ethanol and acetaldehyde concentrations by gas chromatography-mass spectrometry (GC-MS) as previously described [14 (link), 15 (link)]. Details about the GC-MS procedures can be found in the Supplementary Materials. The concentrations of ethanol (mM) and acetaldehyde (μM) were calculated by plotting against respective standard curves. The total area under the curves (AUCs) in the concentration-time curves were calculated using SigmaPlot software (SPSS Inc., Chicago, IL).
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7

Agonist Response Curve Analysis

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CRCs to agonists were fitted by non-linear regression using SigmaPlot software (version 11.0; SPSS, Inc.). The maximal responses (Emax) and the negative logarithm of the concentration at which agonists produce 50% of the maximum response were calculated. Statistical analysis was performed using PASW version 18.0 software (SPSS, Inc.). Data are expressed as the mean ± SD of ≥3 independent repeats. Differences within groups were compared using an unpaired Student's t-test or one-way analysis of variance (ANOVA) followed by LSD post hoc test. P<0.05 was considered to indicate a statistically significant difference.
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8

Cell Viability Assay for Drug Cytotoxicity

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Cells (2–3 × 103 in 100 μL/well) were seeded in 96-well plates and incubated overnight at 37 °C in 5% CO2, and then exposed to each drug at the indicated concentration for 5 days. After drug treatment, 50 μL of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolim bromide solution (Sigma Aldrich) was added to each well, and the plates were incubated for 4 h at 37 °C before the media was removed. After dissolving the formazan crystals with 150 μL of dimethyl sulfoxide, the absorbance of each well was measured at 540 nm with a VersaMax™ microplate reader (Molecular Devices, Sunnyvale, CA, USA). Half-maximal inhibitory concentration (IC50) values were analyzed using SigmaPlot software (Statistical Package for the Social Sciences, Inc., Chicago, IL, USA).
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9

Evaluating Dose-Dependent Outcomes

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The descriptive statistics are based on means and variance, indicated by ±SEM. Statistical analyses were calculated using SigmaPlot software (Version 12.3, SPSS). Normality of residuals was examined using the Shapiro-Wilk test, and data were square-root-transformed when necessary. Values outside the 95% CI were defined as outliers and excluded from the analyses. Concerning this matter, one animal of the 1 mg/kg and one rat of the 3 mg/kg treatment group needed to be excluded. Multiple comparisons were performed using 2-way ANOVA followed by Holm-Sidak posthoc corrections. Significance level was set at P<.05.
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10

Tulathromycin Analgesic Efficacy Assessment

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All statistical analysis procedures were carried out by Sigma plot software (Version 14.5; SPSS Inc., Chicago, IL, USA). The obtained data were presented as mean ± SD (n = 5 recordings). Statistical significance between control and each treated group was determined using the one-way analysis of variance test (ANOVA) traced by the Bonferroni t-test. Normality test, Shapiro–Wilk was performed, and all were successfully passed. Statistical significance was considered when p ≤ 0.05. The anti-nociception activity of tulathromycin was standardized as a percentage compared with the corresponding standard in the present study.
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