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77 protocols using sigmaplot version 10

1

LPS-Induced Inflammatory Response Attenuation

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All values are expressed as the mean ± standard deviation (SD). SigmaPlot version 10 software (Systat Software Inc., Chicago, IL, USA) was used for statistical analyses. Student's t-test or one-way ANOVA was used for the determination of statistical significance of differences between the LPS-treated and GSP plus LPS-treated cells. In all analyses, a p-value of <0.05 was considered statistically significant.
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2

Concentration-Response Curve Analysis of Drugs

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Data for the effect of drugs on phasic and tonic contractions underwent a concentration-response curve analysis, which was performed using Sigma Plot version 10 software (Systat Software Inc., San Jose, CA, USA) to obtain the inhibitory concentration-50 (IC50) values, a drug concentration that produces 50% of the maximum inhibitory effect (potency), and the Emax, a maximum inhibitory response that can be produced by the highest concentration of the tested compound (efficacy). Data are expressed as the means±SEM from determinations for each concentration (n=6). The differences in IC50 and Emax among the compounds were determined by one-way ANOVA followed by a post hoc Student-Newman-Keuls test using Sigma Stat software version 3.1 (Systat Software Inc., San Jose, CA, USA). In all cases, p<0.05 was considered statistically significant.
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3

Statistical Analysis of Dot Signals

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Dot signal intensities were analyzed using Two Way Analysis of Variance (ANOVA) with the Holm-Sidak method for pairwise multiple comparisons. A P ≤ 0.05 was considered statistically significant. SigmaPlot version 10.0.1 was used for performing all statistical analyses (Systat Software, Inc., San Jose, CA).
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4

Astrocytoma Grading and Correlation Analysis

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Data were divided into four groups for the comparison. These four groups are nontumor control brain tissues, low-grade (both Grade I and Grade II) astrocytomas, Grade III astrocytomas, and Grade IV astrocytomas. For various parameters, the data are presented as box plots created using SigmaPlot version 10.0.1 (Systat Software Inc., San Jose, CA, USA) [34 ]. Statistical analysis was performed using IBM SPSS Statistics version 22.0 software (IBM, Armonk, NY, USA) [35 ]. The nonparametric Mann–Whiney U test was used to determine the statistical significance for the differences between any two groups for all the measured parameters. The nonparametric Spearman’s correlation analysis was conducted to examine the significance of the correlations between the malignancy degree (1 to 4 for the groups of nontumor controls, low grades, Grade III, and Grade IV, respectively) or GOS grade (“G” = 1, “M” = 2, “S” = 3, “V” = 4, and “D” = 5) and various parameters. Differences were considered statistically significant when p values were less than 0.05.
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5

Survival and Weight Analysis Protocol

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The Gehan–Breslow method was used to analyze differences in survival between the treatment groups. Two-way repeated measures Analysis of Variance (ANOVA) was used to compare weight changes between the treatment groups and day over the experimental time course. The Kruskal–Wallis One Way ANOVA on ranks was used to ascertain differences in histological findings and IHC results. A P ≤ 0.05 was considered statistically significant. Sigma Plot version 10.0.1 was used for performing all statistical analyses (Systat Software, Inc., San Jose, CA, USA).
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6

Steady-state Activation and Resurgent Current Analysis

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Patch-clamp data were analyzed using Clampfit 9.2 (Axon Instrument, Sunnyvale, CA, USA). The Vh and k of the steady-state activation curves were determined using Boltzmann functions and choosing the best fit one for the curve. To determine the recovery time constants of the resurgent current, responses of each cell were fitted to a first-order exponential function, and the time constants derived were averaged from cells as indicated. Statistical analysis was done using the statistical software Sigmaplot version 10.0 (Systat Software Inc.,wpcubed GmbH, Erkrath, Germany). Student’s independent t-test and ANOVA followed by two-tailed Bonferroni’s correction were used to test the differences between groups. Statistical significance was defined as p < 0.05.
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7

Statistical Analysis of Experimental Data

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Statistical signi cance was estimated by unpaired Student's t-test or one-way analysis of variance (ANOVA) with a Bonferroni post-test. To compare experimental groups, an unpaired Student's t-test was conducted in SigmaPlot version 10.0 software (Systat Software Inc, Washington, USA). One-way analysis of variance (ANOVA) with a Bonferroni post-test was performed in IBM SPSS Statistic 25 software (IBM, NY, USA) for multiple comparisons. The data were represented as the mean ± SEM of the three independent experiments. The p-values ≤ 0.05 were regarded as statistically signi cant.
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8

CO2 and Salinity Effects on Plants

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The experimental design was a completely randomized block with 11 replicates of each plant. Statistical analyses were performed using the SAS system for Windows version 9.4 (SAS Inst. Inc., Cary, NC, USA). Two-way analyses of variance (ANOVA) were performed to test the effect of CO2 treatment and EC, and the obtained means were compared by Duncan's multiple range test at p < 0.05. Graph module analyses were performed using Sigma Plot version 10.0 (Systat, Software Inc., San Jose, CA, USA).
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9

Statistical Analysis of Experimental Data

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Statistical analyses were conducted using SigmaPlot version 10.0 (Systat Software Inc., San Jose, CA, USA). Experimental data are presented as mean ± standard error (SE). All statistical tests were two-sided. Differences were considered statistically significant for values of p < 0.05.
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10

Statistical Analysis of Experimental Data

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Statistical signi cance was estimated by unpaired Student's t-test or one-way analysis of variance (ANOVA) with a Bonferroni post-test. To compare experimental groups, an unpaired Student's t-test was conducted in SigmaPlot version 10.0 software (Systat Software Inc, Washington, USA). One-way analysis of variance (ANOVA) with a Bonferroni post-test was performed in IBM SPSS Statistic 25 software (IBM, NY, USA) for multiple comparisons. The data were represented as the mean ± SEM of the three independent experiments. The p-values ≤ 0.05 were regarded as statistically signi cant.
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