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Prism 6.0f

Manufactured by GraphPad
Sourced in United States

Prism 6.0f is a data analysis and graphing software package developed by GraphPad. It provides tools for data visualization, statistical analysis, and curve fitting. The software is designed to help researchers and scientists analyze their experimental data efficiently and effectively.

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53 protocols using prism 6.0f

1

Macrophage and Ectocervical Infectivity Assay

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Macrophage infectivity and ectocervical explant infectivity were evaluated in an unmodified format (FFU/mL) and a normalized format (% of TZM-bl). In both cases the data were summarized as mean and standard error of the mean for each pseudovirus. Comparisons were also made among three groups of pseudoviruses, late-disease macrophage-tropic, late-disease non-macrophage-tropic, and transmitted/founder/acute. To achieve normality within groups the data were log transformed. Then groups were compared by unpaired two-tailed t test in Prism 6.0f. Groups are presented with their geometric mean and 95% confidence intervals (Figures 1, 3).
Data for ectocervical explant stimulation methods and maraviroc and nevirapine treatment are mean and standard error (Figure 2). Data for ectocervical cell selections are presented with mean and 95% confidence intervals with group comparisons tested by the Wilcoxon matched-pairs signed rank test in Prism 6.0f (Figure 4).
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2

Impact of ASA on T Cell Activation

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This was a pilot study to assess the impact of ASA on T cell immune activation. An intention to treat analysis was performed. Chi Squared (X2) was used to assess the significance of the associations between categorical variable using Prism 6.0f (GraphPad Software, La Jolla, CA, USA) and Gaussian distribution was tested by Shapiro-Wilk normality test and normality plot using SPSS (NY, USA). To compare baseline to visit 3 two-tailed paired T test (for normally distributed data) or Wilcoxon matched-pair signed-rank test (for data not following normality distribution) were performed using Prism 6.0f (GraphPad Software, La Jolla, CA, USA) or STATA v15.0 (StataCorp LLC, USA). Using SSPS, multivariate regressions were performed to assess the impact of DMPA usage and age on the change score (Visit 3-baseline). To understand the dynamics of the immune system between systemic and musical compartments we performed correlations between plasma and CVL ASA levels were run against data from both the PBMCs and CMCs. Pearson correlation or Spearman’s rank test were used for correlations between continuous variables (GraphPad Software, La Jolla, CA, USA). A p-value of <0.05 was considered as significant correction for multiple comparisons was not performed. Participants who were discontinued from the study were excluded from the analysis.
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3

Statistical Analysis for Biological Studies

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Statistical significance for the morphological, gene expression and protein level studies was evaluated by the use of graphpad prism 6.0f (Graphpad Software, La Jolla, CA, USA), with paired or unpaired two‐tailed Student's t‐tests; for the proliferation studies, a two‐way anova followed by Sidak's multiple comparison test was performed. Levels of significance were expressed as P‐values.
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4

Corneal Blink Threshold and Viral Load

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Geometric means of cell populations (percentages or absolute numbers) and corneal blink threshold each day were compared by using multiple unpaired t-tests or 1-way ANOVA with Holm-Sidak's multiple comparisons post hoc test. Associations between corneal blink threshold and viral load or CD45+, PMN, or macrophage cell number were assessed via linear regression. Kaplan-Meier mortality curves were compared by using the log-rank test. All statistics were calculated by using the GraphPad Prism 6.0f software (La Jolla, CA, USA).
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5

Statistical Analysis Protocol for Biological Research

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Statistical analyses were performed using GraphPad Prism 6.0f (GraphPad Software). One-way ANOVA or two-way ANOVA were utilized where appropriate. P values < 0.05 were considered statistically significant.
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6

Comparative Analysis of Viral Infection Outcomes

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Geometric means of numbers of viral-plaque-forming units per tissue sample, maximum neurologic and lesion scores, maximum weight losses, and concentrations of cytokines were compared using the unpaired Student’s t test or one-way analysis of variance (ANOVA) with Holm-Sidak’s multiple-comparison test. Variance over time between groups with respect to lesion development or neurologic morbidity was analyzed with two-way ANOVA with Holm-Sidak’s multiple-comparison test. Kaplan-Meier mortality curves were compared using the log rank test. TG reactivation rates were compared using the chi-square test with 1° of freedom. All statistics were calculated using GraphPad Prism 6.0f software.
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7

Statistical Analysis of Experimental Data

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Data were subjected to the D’Agostino–Pearson omnibus normality test. If a Gaussian model of sampling was satisfied, parametric tests (unpaired two-tailed Student’s t-test for two groups, or one-way ANOVA with Tukey multiple comparison with 95% confidence interval for more than two groups) were used. Otherwise, non-parametric t-tests were used (Mann–Whitney U test for two groups, or Kruskal–Wallis H test with Dunn’s multiple comparison for more than two groups). Analyses were performed with GraphPad Prism 6.0f (GraphPad Software) unless otherwise stated. Two-tailed P-values less than 0.05 were considered significant.
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8

Equilibrium Binding Assay of Fluorescent Nucleosomes

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Measurements for equilibrium binding were performed using 20 nM fluorescently-labelled nucleosomes as previously described (Willhoft et al., 2016 (link)) with minor changes: experiments were conducted at 25°C and in ‘MST Buffer’ [25 mM HEPES pH 8.0, 50 mM NaCl, 1 mM TCEP, 10% glycerol, 0.01% Tween-20 and 0.1 mg/mL BSA], with LED and MST power set at 80%. Binding curves were fitted to two sets of replicates.
For binding experiments, data were analysed in the NT Analysis software (NanoTemper) using a ‘Hill method’ analysis on temperature jump data. Hill coefficients were confirmed by generating a Hill plot and calculating a best-fit line. Data points at the extremes of the range were excluded from the analysis.
For saturation point determination, fluorescent nucleosomes (labelled on histone H3 on R3 with AlexaFluor 647 (Thermo Fisher Scientific)) were kept at a constant concentration of 500 nM. Runs were conducted with an LED power of 5% and MST power set to 40%. Straight lines were fitted to the unsaturated and saturated portions of the data in triplicate using GraphPad Prism 6.0f. The stoichiometry was extrapolated from the intersection of the two lines using the following equation: [Ino80:Nucleosome]=(Y1Y2S2S1)[N]
Where Y1 and S1 are the Y-intercept and slope of the unsaturated data fit, Y2 and S2 the same parameters for the saturated fit, and [N] the nucleosome concentration.
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9

Statistical Analysis of Experimental Data

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Statistical analyses were performed using GraphPad Prism 6.0f (GraphPad Software). One-way analysis of variance (ANOVA) or two-way ANOVA were utilized where appropriate. P values <0.05 were regarded to be statistically significant.
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10

Muscle Atrophy and Regrowth Dynamics

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Values are the raw values or change scores expressed as Mean ± SEM. Primary outcome data were evaluated for equal variances and normality, and no major violations of model assumptions were found, expect for correlation analyses so non-parametric Spearman tests were used. Baseline characteristics were compared with students t-test. A priori, we set the primary comparisons of interest; the changes from PRE to BED REST, BED REST to REHAB or PRE to REHAB to test for an effect of age using individual t-tests to address the specific question if there is an effect of age with that particular change. The comparison PRE to BED REST examined the atrophy from inactivity, the comparison from BED REST to REHAB examined the muscle regrowth following inactivity and the comparison from PRE to REHAB examined the ability to return to baseline values. Statistics were conducted with a 2-way ANOVA with either Sidak or Tukey Post Hoc tests as appropriate to test for age effects. To test for effects of time independent of age a 1-way ANOVA for each age group was also used. Significance was set as P≤0.05 and trends as 0.05 < p < 0.10. All analyses were conducted with Graph Pad Prism 6.0f (La Jolla, CA). All figures were generated with the same program.
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