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Prism 5

Manufactured by Merck Group

Prism 5 is a high-performance spectrophotometer designed for accurate and reliable absorbance measurements. It features a wide wavelength range, advanced optics, and precise temperature control to ensure consistent and reproducible results.

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18 protocols using prism 5

1

Quantitative Analysis of Connexin Proteins

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Image Studio 3.1, GraphPad Prism 5.0 and SigmaPlot 9.0 were used for Western blot quantification. The statistical analysis of the CIP75, Cx40 and Cx45 levels after various pharmacological treatments or shRNA transduction relative to the tubulin loading control, and the amounts of CIP75 and Rpn1 associated with Cx40 or Cx45 relative to the amount of connexin immunoprecipitated was performed using the independent Student’s t-test. These data were represented as the fold change of the proteins under the experimental conditions compared with control cells and expressed as the mean ± S.E.M. of three or more independent experiments.
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2

Cytokine Profiling in Clinical Cohorts

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All data were analyzed using Graphpad Prism 5.0 or Sigmaplot 12.0 for windows. Continuous variables were expressed as mean ± standard deviation and median with interquartile range. Serum IL-8, IL-6, and TNF-α levels were transformed to a natural logarithm to mitigate the influence of extreme outliers. Differences between the two groups were evaluated by the Mann–Whitney U-test. Intergroup comparison of the three groups was conducted by the nonparametric Kruskal–Wallis test. Relationships between the serum levels of IL-8 and clinical variables were determined by univariate linear regression. Comparison between IL-8, IL-6, and TNF-α was performed by ROC (receiver operating characteristics curve) construction and the area under the curve (AUC) measurement. A P-value <0.05 was considered the level of significance.
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3

Statistical Analysis of Experimental Data

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All statistical analyses were run using GraphPad Prism 5.0 and Sigma Plot 10.0 software. A statistical significance of the difference between data was assessed by calculating the P value using two-tailed Student t-test or ANOVA.
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4

Arteriole Vasoreactivity and Oxidative Stress

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Data are expressed as means±standard error of means, and
significant p-value (2-sided) was set at p<0.05. For vasoreactivity,
overall response to acetylcholine was assessed by computing effective dose of
acetylcholine producing 50% dilator response (LogM EC50). This was calculated
using nonlinear regression using variable slope (4 parameters) and least squares
(ordinary fit), as described previously (Migrino
et al., 2011
). Control (baseline) response was compared to the
post-treatment response in the same arteriole for each acetylcholine and
papaverine dose using paired Student's t-test. Dilator responses to
acetylcholine and papaverine were compared between different treatments (e.g.
Aβ versus Aβ+PEGSOD) using unpaired Student's t-test. For DCF and
nitrotyrosine assays, arteriole response to Aβ was compared separately to
vehicle and Aβ+PEGSOD using paired Student's t-test of raw DCF and
nitrotyrosine data. Prior to analysis, the DCF and nitrotyrosine data (in
arbitrary units) were transformed (reciprocal) and the resulting paired
Student's t-test passed test of normality of distribution of data. The
representation of the data, however, was expressed as values relative to vehicle
control (Figure 2). Statistical analyses
were performed using GraphPad Prism 5.0 (San Diego CA) and SigmaStat 3.5
(Richmond CA).
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5

Single-cell Ca2+ imaging analysis

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Single cell data has been obtained in independent Ca2+ imaging recordings with 3–6 cover slips per experimental setting. Data was pooled and analysed with Excel 2010, Prism5 and Sigma Plot 10.0. The total number of analysed cells in each experimental setting is given in Figures 14 and Supplementary Figures S3, S4. Statistical significance of the Ca2+ imaging data was assessed with the two sample Kolmogorov–Smirnov test. Statistical significance is given as n.s., non-significant; * P < 0.05; ** P < 0.01 and *** P < 0.001.
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6

Statistical Analysis of Experimental Findings

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Results are expressed as mean ± standard error of the mean (SEM)
and were analyzed using the t-test, chi-square test or one-way analysis of
variance on ranks (Wilcoxon signed rank test) using Prism5 or SigmaStat3.5
software. All p-values are two-sided, and p < 0.05 was considered
statistically significant.
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7

Exercise-Induced Muscle Damage Biomarkers

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The GraphPad Prism 5 and SigmaPlot 10.0 packages were used. Data are presented as the means ± standard error of the mean (SEM). The normality of the data distribution was tested using the Shapiro-Wilk normality test. The non-parametric Friedman test was performed to compare miRNA, inflammatory cytokine and muscle damage marker concentrations. The differences in other variables were compared using repeated measures ANOVA. When appropriate (p value < 0.05), a Dunn multiple comparison (miRNAs, inflammatory cytokines and muscle damage markers) or a Bonferroni multiple comparison (other variables) post hoc test was used to compare groups of different time points. Each result labeled with p < 0.05 indicates p values that resulted from the post hoc test. Correlations of miRNA profiles between baseline and immediately after exercise were calculated using Pearson correlation analysis, and correlations of miRNAs and other blood parameters were performed using Spearman rank correlation analysis as appropriate for the data distribution. A p value < 0.05 was considered statistically significant.
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8

Statistical Analysis of Experimental Results

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Results are expressed as mean ± standard error of mean (SEM) and were analyzed using the t test, χ2 test, or one-way ANOVA on ranks (Wilcoxon signed rank test) using Prism5 or SigmaStat3.5 software. All P values were two-sided with a P value of <0.05 considered statistically significant.
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9

Analyzing Exercise-Induced miRNA Changes

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GraphPad Prism 5 and SigmaPlot 10.0 packages were used. Subject characteristics, exercise testing data and blood parameters were reported as the mean ± standard deviation, and c-miRNA data were presented as the mean ± standard error of the mean (SEM). Paired variables were compared in Student's t-test or a Wilcoxon's matched pairs test as appropriate for the data distribution. Correlation analyses were performed using the Spearman or Pearson's method as appropriate for the data distribution. Values of P < 0.05 were considered significant.
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10

CNO Effects on Nociceptive Behavior

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All data are presented as mean±SEM. Statistical comparisons were made using the unpaired t-test and two-way ANOVA performed in GraphPad Prism5 and SigmaPlot 10. Repeated-measures two-way ANOVA with post hoc Bonferroni test was used to compare the effect of CNO administration on the results of the electronic von Frey test. In all cases, the statistical significance was indicated by *p<0.05, and ***p<0.001.
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