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Prism software package

Manufactured by GraphPad
Sourced in United States

PRISM is a data analysis and graphing software package developed by GraphPad. It is designed to help researchers and scientists analyze and visualize their data. PRISM provides tools for curve fitting, statistical analysis, and the creation of publication-quality graphs.

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29 protocols using prism software package

1

Blinded Analysis of Brain Cysts

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All analyses were performed blindly, without knowledge of assigned group. In the KA groups, a mouse with an apparent brain cyst was excluded. In the long-term EEG groups, one each of eFSE and control mice were excluded because of an electrode-related infarct, and one control had a misplaced electrode. All experimental groups were tested for normal distribution of data via the Kolmogorov-Smirnov test. All statistical analyses employed the GraphPad Prism Software Package (San Diego, CA). Descriptions of individual statistical tests can be found in the Results section.
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2

Statistical Analysis of Experimental Findings

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Data were expressed as means ± standard error (SEM). Analysis of the results was performed using the one-way analysis of variance test (ANOVA) followed by Tukey’s post hoc multiple comparison test. However, for histopathological scoring, results were analyzed using the Kruskal–Wallis ANOVA test, followed by Dunn’s multiple comparison test. For all statistical tests, the level of significance was set at *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, and ns: no significance. GraphPadPrism® software package, version 9 (GraphPad Software, Inc., United States) was used to carry out all statistical tests.
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3

Statistical Analysis of Biological Data

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Data are expressed as mean ± SEM. Statistical comparisons were performed using the GraphPad Prism Software Package (Ver.6, GraphPad Software, La Jolla, California, USA) with two-tailed Student’s t-test or ANOVA including respective corrections where indicated. Differences with p values below 0.05 were considered significant.
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4

Genetic Variants in Dermatological Condition

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The observed genotype frequencies in cases and controls were in agreement with Hardy-Weinberg equilibrium, suggesting no population stratification. Frequencies of alleles and genotypes are reported with their group percentages. The chi-square or Fisher's exact tests were used to determine differences in allele and genotype frequencies. Tests of statistical significance were two-sided and were considered significant when the P-value was <0.05. All statistical analyses were performed with the GraphPad prism software package (GraphPad Software Inc. 9.01, San Diego, CA, USA). JEADV 2022, 36, 2172-2180
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5

Metabolic Phenotyping of Mice

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Glucose tolerance tests (GTT) were performed by fasting mice for 4 h prior to intraperitoneal (ip) injection of glucose at a dose of 1 mg/kg body weight, followed by periodic saphenous vein bleeds over 90–120 min, for immediate blood glucose measurements with a glucometer (OneTouch UltraMini, Life Scan, Milpitas, CA). Insulin tolerance tests (ITT) were performed by ip injection of 0.75 units insulin/kg body weight (Novolin, Novo Nordisk, Denmark) followed by quantification of blood glucose levels at time intervals as noted. Area under the curves (AUCs) were calculated using the manufacturer's algorithm in the PRISM software package (GraphPad, San Diego, CA). Body composition was determined by dual-energy x-ray absorptiometry (DEXA) using a PIXImus Mouse Densitometer (Lunar Corporation, Madison, WI). Food and water intake were measured for 72 h with PhenoMaster metabolic cages (TSE Systems, Bad Homburg, Germany), after a 72 h acclimatization period [25 ].
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6

Statistical Analysis of Cellular Assays

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For all the experiments, the average was calculated from at least four replicates per condition, with data expressed as the mean ± standard error of the mean (SEM) unless otherwise stated. The MTT results were analyzed using a one-way analysis of variance (ANOVA) followed by Dunnett’s post hoc test and a two-way ANOVA followed by Sidak’s post hoc test. Total iron quantification was examined using a two-way ANOVA test followed by Sidak’s post hoc test. CAA results were evaluated with a two-tailed Student’s t-test, while ELISA results were analyzed using a two-way ANOVA test followed by Tukey’s multiple comparisons post hoc test (PRISM software package, Version 8, Graphpad Software Inc., San Diego, CA, USA).
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7

Statistical Analysis of Biological Assays

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The mean of six replicates was calculated for each treatment in all experiments. Data are expressed as mean ± standard deviation (S.D.). Two-way analysis of variance (ANOVA) followed by the Tukey’s or Šidák multiple comparisons post hoc test was used to analyse the FRAP, TEER and BBB passage data. The MTT and mitochondrial hydroxyl assay results were analysed using one-way ANOVA followed by the Dunnett’s T3 post hoc test (PRISM software package, Version 8, Graphpad Software Inc., San Diego, CA, USA).
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8

BDNF Analysis Using Two-Way ANOVA

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Values are expressed as mean ± Standard Error of Mean (SEM). The BDNF assay results were statistically analysed using a two-way, repeated measures analysis of variance (ANOVA) or mixed effects model (where missing values were present). Post-hoc tests (Sidak’s and Tukey’s) were carried out to assess differences between and within treatment groups (PRISM software package, Version 8, Graphpad Software Inc., San Diego, CA, USA).
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9

Anti-M3R Antibodies for Sjögren's Syndrome

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Continuous variables are presented as mean (standard deviation [SD]) or median (interquartile range [IQR]), as appropriate. Group comparisons were performed with analysis of variance (ANOVA) followed by Bonferroni’s post hoc tests or Kruskal-Wallis test followed by Dunn’s post hoc tests. Receiver operating characteristic (ROC) curves were created to explore the ability of anti-M3R to distinguish SS from other groups, and area under the curve (AUC) with 95% confidence intervals (CI) were calculated. Comparison between AUCs was performed using the DeLong’s test (package pROC). Optimum test cut-off values for anti-M3R intensity were based on maximum positive likelihood ratios (+LR) obtained from the ROC curve analysis (HC vs. SS). SS data were categorized into anti-M3R positive and negative, and compared to laboratory features using a Pearson χ² test or the Fisher’s exact test, where appropriate. Spearman rank correlation coefficients were to assess associations between continuous variables. Cohen’s kappa was to determine the level of agreement between the classification criteria. The Prism Software package version 5.0 (GraphPad Software) and R (http://www.r-project.org, version 3.5.1) in RStudio (http://www.rstudio.com, version 1.1.456) were used. The p-value less than 0.05 was considered significant.
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10

Measuring Long-Term Potentiation in Slices

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The initial acquisition and analysis of EPSP were performed with SynchroBrain software (Lohmann Research Equipment). The initial maximum slope was measured over a 0.2–0.8 ms time frame that was held constant for all recordings in each slice. To calculate the magnitude of LTP, EPSP slopes were normalized to the average slopes obtained during the last 30 min of baseline recordings before the delivery of the first HFS. Then values across slices (mean ± SEM) were presented as times baseline. LTP magnitude at 30, 60, 120, and 180 min post-HFS was calculated by averaging the values for the preceding 20 min. Prism software package (Graphpad Software) was used for statistical analysis and plotting. The main tests performed were Student’s t-test and analysis of variance (ANOVA). Specific statistical tests and results are shown in the corresponding figure captions.
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