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Prism v 7 for windows

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GraphPad Prism V.7 for Windows is a data analysis and graphing software designed for Windows operating systems. It provides tools for data management, statistical analysis, and scientific graphing.

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Spss v 26 for windows, by IBM (1 mentions)

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GraphPad Prism V.7.00 for Windows (8 citations) GraphPad Prism 7 for Windows (118 citations) GraphPad Prism vs. 7 (7 citations) GraphPad Prism for Windows (401 citations) GraphPad Prism v (175 citations) GraphPad Prism 7 (32527 citations)

11 protocols using prism v 7 for windows

1

Statistical Analysis of Survival and Immune Responses

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GraphPad Prism V.7 for Windows (https://www.graphpad.com/) was used for all graphing and statistical analyses. Survival curves were determined by the Kaplan-Meier method, and differences between groups were queried using the log-rank Mantel-Cox test. Immune response data, which involved one variable, were assessed by one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test. Resazurin dye-based data, which involved two variables, were assessed by two-way ANOVA with Tukey’s multiple comparisons test. All reported p values were two-sided and were considered significant at a p value of ≤0.05. Graphs show means and SEs.
van Vloten J.P., Matuszewska K., Minow M.A., Minott J.A., Santry L.A., Pereira M., Stegelmeier A.A., McAusland T.M., Klafuric E.M., Karimi K., Colasanti J., McFadden D.G., Petrik J.J., Bridle B.W, & Wootton S.K. (2022). Oncolytic Orf virus licenses NK cells via cDC1 to activate innate and adaptive antitumor mechanisms and extends survival in a murine model of late-stage ovarian cancer. Journal for Immunotherapy of Cancer, 10(3), e004335.
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2

Statistical Significance Analysis

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Statistical analyses were performed using GraphPad Prism V.7 for Windows. P values lower than 0.05 were considered statistically significant.
Lopes A., Bastiancich C., Bausart M., Ligot S., Lambricht L., Vanvarenberg K., Ucakar B., Gallez B., Préat V, & Vandermeulen G. (2021). New generation of DNA-based immunotherapy induces a potent immune response and increases the survival in different tumor models. Journal for Immunotherapy of Cancer, 9(4), e001243.
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3

Statistical Analysis of Experimental Data

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Statistical analysis was performed using GraphPad Prism v7 for Windows (San Diego). A significance level of p ≤ 0.05 was used for analysis of variance, implemented using the Kruskal–Wallis test followed by the Tukey’s post hoc test (p ≤ 0.05). Correlation between different parameters was performed at significance level of p ≤ 0.05.
Popovic M., Mazzega E., Toffoletto B, & de Marco A. (2018). Isolation of anti-extra-cellular vesicle single-domain antibodies by direct panning on vesicle-enriched fractions. Microbial Cell Factories, 17, 6.
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4

Statistical Analysis of Experimental Data

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GraphPad Prism v7 for Windows (GraphPad, San Diego, CA) was used for statistical analysis. A student t test was used for the comparison of a normally distributed continuous variable between 2 groups. Differences between several groups were compared by the nonparametric Wilcoxon rank-sum or Mann-Whitney test because of the small sample sizes for some experiments. The Mantel Cox text was used to compare survival curves for different groups on univariate analyses. All analyses were 2 sided, and values of P<0.05 were considered statistically significant.
Lei B., Sleiman M.M., Cheng Q., Tu Z., Zhu P., Goddard M., Martins P.N., Langerude L., Nadig S., Tomlinson S, & Atkinson C. (2021). In Situ Pre-Treatment of Vascularized Composite Allografts With a Targeted Complement Inhibitor Protects Against Brain Death and Ischemia Reperfusion Induced Injuries. Frontiers in Immunology, 12, 630581.
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5

Statistical Analysis of Quantitative and Qualitative Variables

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Differences in quantitative variables were analysed by the Mann-Whitney U-test when comparing two groups and by Kruskal-Wallis with Dunn’s post-test correction when comparing multiple groups. χ2 test with Yates’ correction when required or Fisher’s exact test when appropriate were used to evaluate associations of qualitative variables in the different groups. Spearman’s rank analysis was performed for non-parametric variable correlations. All the statistical analyses were performed using GraphPad Prism V.7 for Windows (GraphPad Software, USA).
Pontarini E., Murray-Brown W.J., Croia C., Lucchesi D., Conway J., Rivellese F., Fossati-Jimack L., Astorri E., Prediletto E., Corsiero E., Romana Delvecchio F., Coleby R., Gelbhardt E., Bono A., Baldini C., Puxeddu I., Ruscitti P., Giacomelli R., Barone F., Fisher B., Bowman S.J., Colafrancesco S., Priori R., Sutcliffe N., Challacombe S., Carlesso G., Tappuni A., Pitzalis C, & Bombardieri M. (2020). Unique expansion of IL-21+ Tfh and Tph cells under control of ICOS identifies Sjögren’s syndrome with ectopic germinal centres and MALT lymphoma. Annals of the Rheumatic Diseases, 79(12), 1588-1599.
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6

Statistical Analysis of Tumor Growth

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All statistical analyses were performed using GraphPad Prism V.7 for Windows (GraphPad Software, La Jolla, CA, USA). Analysis of tumor growth curves was conducted using two-way analysis of variance (ANOVA). Statistical differences between two sets of data were determined through a two-tailed Student’s t-test, while one-way ANOVA with Tukey’s post hoc test was used to determine statistical differences among three or more sets of data. Statistical differences between survival plots were determined using Log-rank (Mantel-Cox) test. Error bars represent SEM where noted. Asterisks indicate that the experimental p value is statistically significantly different from the associated controls at * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001, **** p ≤ 0.0001.
Horn L.A., Fousek K., Hamilton D.H., Hodge J.W., Zebala J.A., Maeda D.Y., Schlom J, & Palena C. (2021). Vaccine Increases the Diversity and Activation of Intratumoral T Cells in the Context of Combination Immunotherapy. Cancers, 13(5), 968.
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7

Tumor Growth Curve Statistical Analysis

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Statistical analysis of tumor growth curves was conducted using two-way analysis of variance (ANOVA). Two-tailed Student’s t-test was used to determine statistical difference between two sets of data while one-way ANOVA with Tukey’s post hoc test was used to determine statistical differences among three or more sets of data. Pearson r scores and p values (two tailed) were calculated for correlation data. All statistical analyses were performed using GraphPad Prism V.7 for Windows (GraphPad Software, La Jolla, CA, www.graphpad.com). Error bars represent SD. Asterisks indicate that the experimental p value is statistically significantly different from the associated controls at *p≤0.05; **p≤0.01; ***p≤0.001, ****p≤0.0001.
Horn L.A., Riskin J., Hempel H.A., Fousek K., Lind H., Hamilton D.H., McCampbell K.K., Maeda D.Y., Zebala J.A., Su Z., Schlom J, & Palena C. (2020). Simultaneous inhibition of CXCR1/2, TGF-β, and PD-L1 remodels the tumor and its microenvironment to drive antitumor immunity. Journal for Immunotherapy of Cancer, 8(1), e000326.
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8

Transcriptomic Analysis of Gene Expression

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Transcriptomic data were analyzed by pairwise comparisons using a Welch t test on the log-transformed gene expression data. The effect of a factor was considered to be significant with a p value < 0.05. All analyses and graphical figures were made using R software v3.1.1 [75 ], as well as GraphPad Prism v7 for Windows, GraphPad Software, La Jolla California USA, www.graphpad.com. Graphical figures represent the mean of all replicates for each point. Error bars represent the standard error calculated as σ/√n, where σ is the standard deviation and n is the number of replicates.
Maire J., Vincent-Monégat C., Masson F., Zaidman-Rémy A, & Heddi A. (2018). An IMD-like pathway mediates both endosymbiont control and host immunity in the cereal weevil Sitophilus spp.. Microbiome, 6, 6.
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9

Hierarchical Clustering of Gene Expression Profiles

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Normalized expression data were Log 2 transformed and loaded into the Gene-E software (v. 3.0.215, Broad Institute ©2013). The unsupervised cluster analysis of all the samples was performed using the column distance/similarity matrix algorithm and the average linkage method with Pearson correlation. Hierarchical clustering of the gene expression between different phenotype clusters was performed using the marker selection algorithm, using a two-sided test with 1000 permutations. The most significantly differential expressed genes were considered those where the false discovery rate (FDR) values were <0.05.
For subsequent analyses at single gene level, non-parametrical comparisons between two groups the two-tailed Mann-Whitney test was used. A two tailed p-value <0.05 was considered statistically significant. Statistical analyses were performed with Graph Pad Prism v 7 for Windows (La Jolla, CA, USA). For ACC patients, the Kaplan-Meier method was used to estimate overall survival (OS, in all patients with primary tumors) and recurrence-free survival (RFS, in patients with complete resection of the primary tumor) while the Cox proportional hazards model was used for univariate and multivariate analyses using IBM SPSS v 26 for Windows (SPSS Inc., Chicago, IL, USA).
Sbiera I., Kircher S., Altieri B., Lenz K., Hantel C., Fassnacht M., Sbiera S, & Kroiss M. (2021). Role of FGF Receptors and Their Pathways in Adrenocortical Tumors and Possible Therapeutic Implications. Frontiers in Endocrinology, 12, 795116.
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10

Robust Statistical Analysis of Aging Mice

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Blinding of investigators was not possible during experiments. Control and experimental groups were randomly assigned by cage. All experiments contained littermates and non-littermates, which were both randomly assigned to control and experimental group. Young control mice were raised or obtained from Jackson Laboratory (WT; C57BL6/J). Statistical significance was calculated by a two-tailed Student’s t-test or ANOVA using a post-hoc test to for multiple comparisons. *P < 0.05; **P < 0.005; ***P < 0.001; ****P < 0.0001. To determine exclusion criteria, GraphPad Prism was used to define statistical outliers, which were then excluded from data analysis. Aged mice with extreme frailty, tumor or other age-related pathology were excluded from the study. This amounted to less than 5% of all aged mice. A confidence interval of 95% was used for all statistical tests. All data were assumed to be normally distributed, unless the standard deviation was identified as significantly different between groups. Sample size for experiments were based upon previously published experiments. All statistical tests were performed using GraphPad Prism v7 for Windows (GraphPad Software). Data are expressed as mean ± s.e.m. Biological replicates and the number of independent experiment repetition are described in the figure legends.
Camell C.D., Günther P., Lee A., Goldberg E.L., Spadaro O., Youm Y.H., Bartke A., Hubbard G.B., Ikeno Y., Ruddle N.H., Schultze J, & Dixit V.D. (2019). Aging induces an Nlrp3 inflammasome-dependent expansion of adipose B cells that impairs metabolic homeostasis. Cell metabolism, 30(6), 1024-1039.e6.
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