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2 885 protocols using prism v6

1

Regression Curve and Gene Expression Analysis

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Comparisons between regression curves were made using a method equivalent to an Analysis of Covariance (ANCOVA, GraphPad Prism V.6.02). Comparisons of growth rates were made using one-way repeated measures analysis of variance (ANOVA) with Sidak’s correction for multiple comparisons (GraphPad Prism V.6.02). Matrix accumulation results were compared with repeated measures two-way ANOVA with Holm-Sidak’s correction for multiple comparisons (GraphPad Prism V.6.02). Relative gene expression values were compared between surfaces at each passage with a ratio paired t-test (GraphPad Prism V.6.02) using Bonferroni correction to indicate significance (i.e. p < 0.05/3). For comparison between oxygen tensions, ratio paired t-tests were used (GraphPad Prism V.6.02) using Bonferroni correction to indicate significance. Comparisons of gene expression with the control (P1 TC plastic expansion) were performed with Linear trend post-hoc analysis (GraphPad Prism V.6.0.2). Values quoted in the text are mean ± S.D.
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2

Comparative Statistical Analysis of ELISA Data

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Statistical tests for multiple comparison were performed for all groups (except for the PBS control) in case of the ELISA data. The results were analyzed using the nonparametric Kruskal-Wallis test, with corrected Dunn’s multiple comparison test, using GraphPad Prism v6.01. Statistical significance has been expressed as follows: *p < 0.05; **p < 0.01; and ***p < 0.001. Neutralization curves were fitted based on the equation of nonlinear regression log (inhibitor) vs. normalized response – variable slope using GraphPad Prism v6.01. The IC-50 values of the neutralization were obtained from the fitting curves using GraphPad Prism v6.01
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3

Antibody Titer and Survival Analysis

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The statistical significance of differences in antibody titers was estimated using GraphPad Prism v6.0. Statistical difference in body mass dynamics was calculated using ANOVA to identify differences between the IV-specific mouse groups, or on specific days using GraphPad Prism v6.0. Survival rates were compared between various groups by building Kaplan–Meier curves in GraphPad Prism v6.0. Differences were considered significant at p < 0.05.
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4

Automated Sigmoidal Curve Analysis

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All values presented in the results section are the mean or mean ± standard deviation of the mean of three independent analyses, calculated using GraphPad Prism v6 Software (GraphPad Software Inc., La Jolla, CA, USA). Interpolated sigmoidal curves (4-parameter logistic curve, 4 PL) were determined automatically using GraphPad Prism v6 Software (GraphPad Software Inc., La Jolla, CA, USA).
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5

Radioligand and BRET Binding Assays

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GTPγ[35S]binding assay was performed in quadruplicates. Dose–response curves were calculated with GraphPad Prism v 6.0.7 using the log(dose) response curve with variable slope. BRET assay was performed in triplicates. Association kinetics was calculated with GraphPad Prism v 6.0.7 using monophasic association. Data are mean ± SD calculated from three independent experiments (SI Tables S1–S6).
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6

Synergistic Drug Interaction Analysis

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IC50 calculations and the respective curves were generated by GraphPad Prism v6.0 Software. The effect of the interaction of different agents on combination treatment (synergistic, additive, antagonistic) was analyzed with the freeware program “Synergy” based on the R statistical language (R v2.13.1) as published elsewhere [49 (link)]. For each interaction-effect experiment, the Chou-Talalay method [50 (link)] was primarily used and results were verified with the Plummer method [51 (link)]. For comparisons of treatment groups, unpaired t-tests (Mann-Whitney), paired t-tests, and one-way or two-way ANOVA (where appropriate) were performed. For ANOVA, Bonferroni posthoc analysis was used to compare treatment groups. All analyses were performed with GraphPad Prism v6.0. Differences with a P value ≤ 0.05 were considered significant.
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7

Protein Half-life Simulation and Survival Analysis

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The experiment was set up to use three samples/repeats per experiment/group/condition to detect a twofold difference with power of 80% and at the significance level of 0.05 by a two-sided test for significant studies. Results are reported as means ± SD. For protein half-life simulation, nonlinear regression with model of one-phase decay in GraphPad Prism v6.01 was performed. Comparisons were performed using two tailed paired Student’s t test or one-way analysis of variance (ANOVA), as indicated in individual figures. For survival analysis, the expression of indicated targets was treated as a binary variant and divided into “high” and “low” level. Kaplan-Meier survival curves were compared using the Gehan-Breslow test in GraphPad Prism v6.01.
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8

Comprehensive Analysis of Biomarkers in SIRS

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Data were analyzed (Prism v.6; GraphPad). The level of statistical significance was set at p ≤ 0.05. All variables were assessed for normality using a Shapiro–Wilk test, and logarithmic transformation was performed if necessary.
Variables measured with the Advia 2120 were compared between SIRS cases and healthy controls by a 2-way ANOVA with repeated measurements concerning the type of anticoagulant, followed by a Bonferroni-adjusted post-hoc test with paired multiple comparison. Variables determined by the Multiplate analyzer were compared between SIRS patients and controls using a 2-way ANOVA with repeated measurements concerning the method (with or without stirring), and again a Bonferroni-adjusted post-hoc analysis.
Within the SIRS group, measurement results of survivors were compared with those of non-survivors by use of a 2-way ANOVA and a Bonferroni-adjusted post-hoc test. For platelet counts, positive likelihood ratios for non-survivors were calculated by use of receiver operating characteristic curve (ROC) analysis (Prism v.6) within all SIRS cases.
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9

Quantifying microRNA Expression Patterns

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MicroRNA expression was assessed using SDS2.4 software (Life Technologies) and fold change was determined as for comparative Ct method (26 (link)). Statistical analyses were carried out using SPSS v19.0, Sigmaplot v13 or GraphPad Prism v6.0. Differences between groups were assed using the independent t-test, one-way ANOVA, or one-way ANOVA repeated measure analysis. Following a significant ANOVA result, differences between pairs of groups were detrmined via the Tukey post-hoc test (Prism v6.0). Receiver operating characteristic (ROC) analysis was performed using marker expression on a continuous scale as the test variable and disease status as the state variable (Sigmaplot v13). For the ROC analyses, pre-test prior-probability was set to 0.5 and Cost Ratio to 1.0 (27 (link)). The optimal cutoff value to dichotomise microRNA expression was computed from sensitivity and specificity using the slope m by finding the cutoff that maximizes the function: sensitivity-m(1-specificity) (Sigmaplot v13) (28 (link)). The accuracy of the test was defined by the area under the curve (AUC), whereby AUC = 0.5 means no diagnostic ability and AUC = 1 means perfect diagnostic ability.
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10

Virus Neutralization Assay Protocol

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All graphs were generated in Prism v6.0. Virus infectivity curves were generated and Area Under the Curve was calculated in Prism and used for comparisons of neutralization activity. Neutralization IC50 titers were also calculated in Prism from the virus infectivity curve using log transformation of x-values, normalization of y-values, and linear regression of dose-response inhibition with variable slope. A Mann-Whitney test or Wilcoxon matched pairs analysis was used to compare two groups, while a Kruskal-Wallis test was used for to compare more than two groups. A non-parametric Spearman’s test was used to assess correlations between variables in Prism v6.0. P values less than 0.05 were considered to be significant.
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