Prism 4 for windows

Manufactured by GraphPad

Sourced in United States

GraphPad Prism 4 for Windows is a data analysis and graphing software designed for scientists and researchers. It offers tools for analyzing and visualizing experimental data. The software provides features for curve fitting, statistical analysis, and creating publication-quality graphs and charts.

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Lab products found in correlation

Rnalater stabilization reagent, by Qiagen (2 mentions) Gotaq hot start polymerase and reagents, by Promega (2 mentions) Dntp mix, by Eurogentec (2 mentions) Ez 96 dna methylation kit, by Zymo Research (2 mentions) Dneasy blood and tissue kit, by Qiagen (2 mentions) Cary eclipse fluorescence spectrophotometer, by Agilent Technologies (1 mentions) Spss for windows version 20, by IBM (1 mentions) Spss software package for windows version 13.0, by IBM (1 mentions)

Close spelling variants of this product

GraphPad Prism 4.00 for Windows GraphPad Prism 8.4 for Windows Prism 5.0.4 for Windows GraphPad Prism 8.4.0 for Windows GraphPad Prism v 4.00 for Windows Prism 8.4.2 for Windows GraphPad Prism 8.4.3 for Windows GraphPad Prism 4.02 for Windows Prism ver.8.4.2 for Windows Graphpad Prism v.9.4.1 for Windows

24 protocols using prism 4 for windows

Determination of Protein Thiolate pKa

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The pK_a of the thiolate in C_p from MfOhr_del was determined using the monobromobimane (mBrB) alkylation method that generates a fluorescent product detected at λ_exc 396 nm and λ_em 482 nm [29] (link). MfOhr_del was pre-reduced by DTT as described above. The assays were performed in flat-bottom white polystyrene 96-well plates (Costar) in triplicates, using Varian Cary Eclipse fluorescence spectrophotometer, operating at medium voltage with both emission and excitation slit of 5 nm. Immediately after the end of the reaction, the pH of samples was checked. An additional blank reaction was performed in absence of thiols, to determine if other components in buffers might interfere with the reaction.
The angular coefficients were calculated using time points that included at least the initial 10 min of reaction that were fitted in a straight line. The curves displayed in Fig. 9 were obtained by non-linear regression using Henderson-Hasselbalch equation and considering 95% of confidence using Prism 4 for Windows, GraphPad Software, San Diego, CA.

Meireles D.A., Domingos R.M., Gaiarsa J.W., Ragnoni E.G., Bannitz-Fernandes R., da Silva Neto J.F., de Souza R.F, & Netto L.E. (2017). Functional and evolutionary characterization of Ohr proteins in eukaryotes reveals many active homologs among pathogenic fungi. Redox Biology, 12, 600-609.

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Statistical Analysis of Experimental Data

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Statistical analysis was done with GraphPad Prism 4 for Windows. Quantified data in the figures and in the text is presented as mean + SEM. Relative data is shown as percentage of control experiments. Values of sample size (n) refer to mouse numbers. Unpaired t tests, one-way or two-way ANOVA with post hoc comparisons (Bonferroni post hoc test) were used to determine differences between groups. A significance level of 0.05 was accepted for all statistical tests. Asterisks mark P values of 0.05 (*), 0.01 (**), 0.001 (***), or 0.0001 (****).

Paß T., Aßfalg M., Tolve M., Blaess S., Rothermel M., Wiesner R.J, & Ricke K.M. (2020). The Impact of Mitochondrial Dysfunction on Dopaminergic Neurons in the Olfactory Bulb and Odor Detection. Molecular Neurobiology, 57(9), 3646-3657.

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Orthostatic Stress Test and HRV Analysis

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The variables presented a non-normal distribution (Shapiro–Wilk tests). Thus, statistical analysis uniformly employed non-parametric tests, and the variables were presented as median and quartile values.
The Mann–Whitney U-Test was used for comparison between groups: (a) the HRV indices in supine and orthostatic position; (b) absolute (Δ) and relative (%Δ) changes in HRV indices following the orthostatic stress test; and (c) the absolute and relative values of HRR throughout the post-exercise active recovery phase.
The difference level was set as a two-tailed p-value ≤ 0.05. The effect size (ES) of comparative analysis was calculated using the formula:

E S = \frac{Z}{\sqrt n}

where “Z” is the z-score converted from the probability value of a test statistic and “

\sqrt n

” is the square root of the total sample on which “Z” is based [36 ,37 ]. According to Cohen [38 ], effect sizes with 0.2–0.3 were classified as small, 0.5–0.8 as medium, and ≥0.8 as large. The observed power was calculated by using post-hoc power analysis for each hypothesis via G*power 3.1.9.7 for Windows software [39 (link)].
Statistical analysis employed the Statistical Package Social Sciences (SPSS 22) and the Prism 4 for Windows (GraphPad Software, Inc., San Diego, CA, USA, 2005) software packages.

Morlin M.T., da Cruz C.J., Guimarães F.E., da Silva R.A., Porto L.G, & Molina G.E. (2022). High-Intensity Interval Training Combined with Different Types of Exercises on Cardiac Autonomic Function—An Analytical Cross-Sectional Study in CrossFit® Athletes. International Journal of Environmental Research and Public Health, 20(1), 634.

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Western Blot Quantification and Analysis

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Relative densitometry of Western blots was quantified using ImageJ (http://rsb.info.nih.gov/ij/). Statistical analysis of data was performed using 1-way Analysis of Variance, 2-way Analysis of Variance or a student's t-test and Prism 4 for Windows (GraphPad Software, San Diego, CA). All data are expressed as mean +/− S.E. and p values <0.05 were considered significant.

Shearn C.T., Mercer K.E., Orlicky D.J., Hennings L., Smathers-McCullough R.L., Stiles B.L., Ronis M.J, & Petersen D.R. (2014). Short Term Feeding of a High Fat Diet Exerts an Additive Effect on Hepatocellular Damage and Steatosis in Liver-Specific PTEN Knockout Mice. PLoS ONE, 9(5), e96553.

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Statistical Analysis of Experimental Data

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GraphPad Prism 4 for Windows was used for statistical tests and visualisation of data. In case of n < 5, we performed a Kruskal-Wallis ANOVA followed by Dunn’s post hoc test. For n = 5 or more, we tested for normal distribution (ND) and used a one-way ANOVA followed by Tukey’s post hoc test in the case of ND. To test for the interaction of time and treatment, we performed a regular two-way ANOVA followed by Bonferroni’s post hoc test. We assumed α = 0.05. Statistical tests performed and test results are mentioned in the respective figure captions, the “Results” section and the Supplementary information.

Kroll A., Matzke M., Rybicki M., Obert-Rauser P., Burkart C., Jurkschat K., Verweij R., Sgier L., Jungmann D., Backhaus T, & Svendsen C. (2015). Mixed messages from benthic microbial communities exposed to nanoparticulate and ionic silver: 3D structure picks up nano-specific effects, while EPS and traditional endpoints indicate a concentration-dependent impact of silver ions. Environmental Science and Pollution Research International, 23, 4218-4234.

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Statistical Analyses for Biomedical Research

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Quantitative variables were compared between groups using Mann Whitney U test. The frequency of different clinical parameters was compared between anti-DNA-positive and anti-DNA-negative using the Fisher exact test. Sensitivity and specificity were evaluated by means of receiving operating characteristic (ROC) curves. Correlations were determined using Spearman Rank correlation coefficient. P < 0.05 was considered as significant; Prism 4 for Windows (GraphPad Software Inc.) was used for the analysis. Concordance was analyzed by means of the Cohen K coefficient.

Panza F., Alcaro M.C., Petrelli F., Angelotti F., Pratesi F., Rovero P, & Migliorini P. (2016). A novel DNA/histone H4 peptide complex detects autoantibodies in systemic lupus erythematosus sera. Arthritis Research & Therapy, 18, 220.

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Statistical Analysis of Biological Data

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Data are expressed as mean ± S.E.M. Analysis of variance (ANOVA) followed by a post-hoc Newman–Keuls multiple comparison test were used for the statistical evaluation of data using a trial version of Prism 4 for Windows (Graph pad Software, Inc., La Jolla, CA, USA). The paired two-tailed Students‘ t–test was used to analyze the significance between the sets of paired means. Data were considered statistically significant at p < 0.05.

Singh A.K., Patel P.K., Choudhary K., Joshi J., Yadav D, & Jin J.O. (2020). Quercetin and Coumarin Inhibit Dipeptidyl Peptidase-IV and Exhibits Antioxidant Properties: In Silico, In Vitro, Ex Vivo. Biomolecules, 10(2), 207.

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Statistical Analysis of Experimental Data

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Statistical analysis was performed using GraphPad Prism 4 for Windows, version 4.03. Data were compared by Mann–Whitney test and Fisher’s χ² test. A p-value < 0.05 was considered to be significant.

Maglio M., Ziberna F., Aitoro R., Discepolo V., Lania G., Bassi V., Miele E., Not T., Troncone R, & Auricchio R. (2017). Intestinal Production of Anti-Tissue Transglutaminase 2 Antibodies in Patients with Diagnosis Other Than Celiac Disease. Nutrients, 9(10), 1050.

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Statistical Analysis of Experimental Data

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GraphPad Prism 4 for Windows was used for drawing graphs and statistical analysis (GraphPad Software, San Diego, CA, USA). Significant differences between experimental and control groups were analyzed by the Mann–Whitney test. Differences were considered statistically significant when the p-value was less than 0.05.

Honda-Okubo Y., Baldwin J, & Petrovsky N. (2021). Advax-CpG Adjuvant Provides Antigen Dose-Sparing and Enhanced Immunogenicity for Inactivated Poliomyelitis Virus Vaccines. Pathogens, 10(5), 500.

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Statistical Analysis of Experimental Groups

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Statistically significant differences between experimental groups were determined by one-way analysis of variance (ANOVA) followed by Dunnett’s or Tukey’s tests for multiple comparisons. Statistical analysis was performed using the software program Prism 4 for Windows (GraphPad Software, San Diego, CA, USA). P values less than 0.05 were considered significant.

Noda M., Takii K., Parajuli B., Kawanokuchi J., Sonobe Y., Takeuchi H., Mizuno T, & Suzumura A. (2014). FGF-2 released from degenerating neurons exerts microglial-induced neuroprotection via FGFR3-ERK signaling pathway. Journal of Neuroinflammation, 11, 76.

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