Prism software v5

Manufactured by GraphPad

Sourced in United States

Prism Software v5 is a data analysis and graphing software developed by GraphPad. It provides a range of statistical and visualization tools to help researchers and scientists analyze and present their data.

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Lab products found in correlation

Spss v18, by IBM (1 mentions) Spss 20, by IBM (1 mentions) Spss 17.0 statistical software, by IBM (1 mentions) Spss version 21, by IBM (1 mentions) Spss software v15, by IBM (1 mentions) Bx51 microscope, by Olympus (1 mentions) Sas 9, by SAS Institute (1 mentions) Spss statistics 21, by IBM (1 mentions) 96 well thin wall pcr plate, by Bio-Rad (1 mentions) Optical quality sealing tape, by Bio-Rad (1 mentions) Sypro orange, by Thermo Fisher Scientific (1 mentions) Cfx96 real time system, by Bio-Rad (1 mentions) Z1 coulter counter, by Beckman Coulter (1 mentions) Sbiii, by Merck Group (1 mentions) Spss statistics v20, by IBM (1 mentions) Spss statistical software v20, by IBM (1 mentions) Fcap array software, by BD (1 mentions) Cool snap procf color camera, by Nikon (1 mentions) Eclipse e600 microscope, by Nikon (1 mentions) Rtca software v1, by Roche (1 mentions)

120 protocols using prism software v5

Multivariate Analysis of Tumor Growth

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Statistical analysis was performed as indicated in the figure legends by use of Graphpad Prism Software v5.0. 2way ANOVA Bonferroni post-test was performed to analyze the correlation between tumor growths in different treatment groups. One-way ANOVA Bonferroni was used to compare the time point when tumor growth exceeded a surface of 150 mm². Unpaired Student's t-test was performed to compare immune cell populations in the different treatment groups.

Finkel P., Frey B., Mayer F., Bösl K., Werthmöller N., Mackensen A., Gaipl U.S, & Ullrich E. (2016). The dual role of NK cells in antitumor reactions triggered by ionizing radiation in combination with hyperthermia. Oncoimmunology, 5(6), e1101206.

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Metabolic Rate Analyses in Rodents

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Numerical data are presented as mean ± SEM. Rate of change of body mass, body temperature, and energy expenditure was calculated utilizing linear regression in Graphpad Prism Software V5.0. Where mentioned in the text, ANCOVA was utilized to determine if two slopes were different from one another. A two-tailed Student’s t test or two-way ANOVA with Bonferonni posttests was utilized to identify significant differences between groups. All data are representative of two or more independent experiments.

Girer N.G., Carter D., Bhattarai N., Mustafa M., Denner L., Porter C, & Elferink C.J. (2019). Inducible Loss of the Aryl Hydrocarbon Receptor Activates Perigonadal White Fat Respiration and Brown Fat Thermogenesis via Fibroblast Growth Factor 21. International Journal of Molecular Sciences, 20(4), 950.

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Statistical Analysis of Biological Data

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Data were shown as mean ± SEM unless otherwise stated. Two tailed t‐test was to compare between two independent groups. Two‐way ANOVA with a subsequent Bonferroni correction was performed to determine the significance of multiple comparisons using the SUMO software package.15, 16, 17 To estimate the linear corrections, we used least‐squares regression as well as the Pearson R test (GraphPad Prism Software v5.0). p < 0.05 was considered statistically significant.

Zhou C., Moustafa M.R., Cao L., Kriegsmann M., Winter M., Schwager C., Jones B., Wang S., Bäuerle T., Zhou P., Schnölzer M., Weichert W., Debus J, & Abdollahi A. (2019). Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation. International Journal of Cancer, 144(12), 3160-3173.

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Statistical Analysis of Experimental Data

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Data were processed using SPSS v18.0 statistical software (SPSS Inc.), and the measurement data were expressed as the mean ± standard deviation. Statistical analysis was performed by one-way analysis of variance with Tukey's test and Dunnett's test used for post hoc analysis. Histograms were plotted by Prism software v5.0 (GraphPad Software, Inc.). P<0.05 was considered to indicate a statistically significant difference.

Lu J., Meng Z., Cheng B., Liu M., Tao S, & Guan S. (2019). Apigenin reduces the excessive accumulation of lipids induced by palmitic acid via the AMPK signaling pathway in HepG2 cells. Experimental and Therapeutic Medicine, 18(4), 2965-2971.

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Statistical Analysis of Experimental Data

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Data were analyzed using Prism software v5.0 (GraphPad Software, San Diego, CA, USA). Results are expressed as mean±SD and means were compared by Student's t-test, Mann-Whitney U-test, and Wilcoxon tests as appropriate. Correlation between different numerical variables was analyzed by Spearman's or Pearson's tests as appropriate. Categorical variables were analyzed by Chi-square test. In all experiments, p value <0.05 was considered statistically significant.

Del Rey M.J., Faré R., Izquierdo E., Usategui A., Rodríguez-Fernández J.L., Suárez-Fueyo A., Cañete J.D, & Pablos J.L. (2014). Clinicopathological Correlations of Podoplanin (gp38) Expression in Rheumatoid Synovium and Its Potential Contribution to Fibroblast Platelet Crosstalk. PLoS ONE, 9(6), e99607.

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Immunogenicity assessment of SAd36 and SP-SAd36 regimens

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GraphPad Prism Software V5.0 was used to perform statistical analysis and generate graphs. Mann-Whitney test was used for analysis of differences in antibody titers between the SAd36 and SP-SAd36 regimens. Unpaired t-tests were used for analysis of differences in antibody avidity. Kruskal-Wallis test with Dunn’s post-test was used to determine the differences in cytokine production between the two immunization groups and the naïve mice following stimulation with the peptide pools. Analysis of the differences in triple, double, and single cytokine producing CD4 and CD8 T cells between the SAd36 and SP-SAd36 regimens was assessed using student’s t-test. Statistical analysis for germinal center B cell assessment was conducted using Kruskal-Wallis with Dunn’s post-test to determine differences between the immunization regimens.

Fonseca J.A., McCaffery J.N., Caceres J., Kashentseva E., Singh B., Dmitriev I.P., Curiel D.T, & Moreno A. (2018). Inclusion of the murine IgGκ signal peptide increases the cellular immunogenicity of a simian adenoviral vectored Plasmodium vivax multistage vaccine. Vaccine, 36(20), 2799-2808.

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Statistical Analysis of Treatment

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GraphPad Prism software v 5.0 (San Diego, CA, USA) was used for statistical analysis. Data are expressed as mean values ± SD. Comparisons between treatment and control groups were conducted using one-way ANOVA and a p value < 0.05 was considered statistically significant.

Zhong L., Huang Y., He J., Yang N., Xu B., Ma Y., Liu J., Tang C., Luo C., Wu P., Lai Z., Huo Y., Lu T., Huang D., Gong W., Gan L., Luo Y., Zhang Z., Liu X, & Zhao Y. (2021). Generation of in situ CRISPR-mediated primary and metastatic cancer from monkey liver. Signal Transduction and Targeted Therapy, 6, 411.

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Comprehensive Statistical Analysis Protocol

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Statistical analysis was performed using standard techniques. D’Agostino and Pearson omnibus normality tests were performed to determine the nature of the data distribution. For normally distributed data, the t-test was used. The nonparametric Mann–Whitney U-test was used for data that were not normally distributed. All tests were two-tailed with the level of significance set at 0.05. For consistency of visualization, lines on the scattergrams represent means and standard error margins regardless of the statistical test used for comparison. Continuous variables were analyzed using linear regression with 95% confidence intervals of their slopes represented by dashed lines. Statistical significance was achieved if the 95% confidence intervals of the slopes of the regression lines excluded a slope of zero. No data manipulation was performed on quantitative culture-determined viral load data points, which exceeded the upper limit of quantification. Fisher’s exact test and the Chi-squire test were used for the contingency graphs. Statistical analyses and construction of figures were performed with GraphPad Prism Software v5.0 (La Jolla, CA).

Kim Y.I., Murphy R., Majumdar S., Harrison L.G., Aitken J, & DeVincenzo J.P. (2015). Relating plaque morphology to respiratory syncytial virus subgroup, viral load, and disease severity in children. Pediatric Research, 78(4), 380-388.

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Statistical Analysis of Biological Data

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Data were analyzed using Prism software v5.0 (GraphPad) and SPSS version 23 software. The Shapiro-Wilk test was used to test normality of the data. Statistic tests (and annotations) are mentioned in the figures and figure legends. An overview of statistics for Fig. 1f is provided in the Supplementary Table 3. In general, the two-sided non-parametric Mann–Whitney U test was performed for comparison of non-normality numeric data, whereas two-sided student’s (paired) t test were used for normally distributed data. One-way analysis of variance (ANOVA) were used for multi-group analyses of normally distributed data. Data is presented as mean ± SEM unless stated otherwise. All the statistical assessments were made at the 95% confidence interval; p < 0.05 was considered to be statistically significant.

Venken K., Jacques P., Mortier C., Labadia M.E., Decruy T., Coudenys J., Hoyt K., Wayne A.L., Hughes R., Turner M., Van Gassen S., Martens L., Smith D., Harcken C., Wahle J., Wang C.T., Verheugen E., Schryvers N., Varkas G., Cypers H., Wittoek R., Piette Y., Gyselbrecht L., Van Calenbergh S., Van den Bosch F., Saeys Y., Nabozny G, & Elewaut D. (2019). RORγt inhibition selectively targets IL-17 producing iNKT and γδ-T cells enriched in Spondyloarthritis patients. Nature Communications, 10, 9.

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Statistical Analysis of Genotype Interactions

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Statistical analysis was performed using GraphPad (San Diego, CA, USA) Prism Software v. 5.0. Comparison among samples was conducted through one-way analysis of variance (ANOVA) with Tukey’s multiple comparison test, and values of p ≤ 0.05 were considered statistically significant. Two-way ANOVA was carried out to analyse the genotype x cultivation area interaction.

Antognoni F., Potente G., Biondi S., Mandrioli R., Marincich L, & Ruiz K.B. (2021). Free and Conjugated Phenolic Profiles and Antioxidant Activity in Quinoa Seeds and Their Relationship with Genotype and Environment. Plants, 10(6), 1046.

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