Michaelis–Menten kinetic model parameters were analyzed by Graph Prism 7.0 software with non-linear plotting techniques.20 (link),21 (link) One-way ANOVA by Graph Prism 7.0 software was used for evaluating the effects of the different heat treatments on xanthine oxidase, xanthine dehydrogenase, and xanthine oxidoreductase activities and biological activities. Multiple comparison of the least-square means was made by Tukey’s adjustment with level of significance set as p < 0.05.
Graph prism 7
Manufactured by GraphPad
Sourced in United States
GraphPad Prism 7.0 is a data analysis and graphing software. It provides tools for curve fitting, statistical analysis, and creating publication-quality graphs.
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50 protocols using graph prism 7
1
Analyzing Enzyme Kinetics and Activities
2
Comprehensive analysis of IFI44 expression
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Graph prism 7.0 software was employed to compare the differential mRNA expression between tumor and paired normal samples, where P-value was counted with the t-test. All survival analysis associated with different IFI44 mRNA expression was also completed by using Graph prism 7.0. The calculation of P-value was acquired via log-rank test in Table 1 . Hazard ratio (HR) and 95% confidence interval (CI) were evaluated by Mantel–Haenszel. The best expression cutoff of IFI44 to divide HNSC patients into two groups was calculated through X-Tile software. The survival curves from GEPIA were exhibited with HR and P-value. Different immune infiltration landscapes were established by Excel 2016. Differential miRNAs, LncRNAs, and mRNAs were all selected using Excel 2016.
3
Binding Assay Protocol Analysis
4
Hydrogen Sulfide Modulates Hyperhomocysteinemia
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The data and statistical analysis comply with the recommendations of the British Journal of Pharmacology on experimental design and analysis in pharmacology (Curtis et al., 2018 ). All data collection and analysis were performed in a blinded manner. The experiments were not blinded as the H2S donors had to be dissolved, each day, in different vehicles, NaHS in saline and GYY4137 in DMSO. There were 15 mice in each experimental group, aortic tissues for different experiments, so n<15; 4 mice were used to provide blood samples for preliminary experiments, the final number of blood samples were 11. Data are presented as mean ± SD; n indicates the numbers of independent experiments. All statistical analysis were performed by Graph prism 7.0, RRID:SCR_002798). Differences between the three experimental groups (HHcy, HHcy + NaHS, and HHcy + GYY4137) were analysed by one‐way ANOVA, followed by the Student–Newman–Keuls test. Differences in cellular experiments were also analysed by one‐way ANOVA. Differences in protein expression (HHcy and HHcy + NaHS, or HHcy and HHcy + GYY4137) were analysed by a two‐tailed t‐test. Statistical significance was set at P < .05.
5
Quantitative Analysis of Transmission Dynamics
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Data entry and organization related to this study were performed in Excel 2019. Continuous quantitative variables were described by median ± interquartile range (IQR) and categorical qualitative variables by percentages. Statistical analysis was performed using SPSS version 22.0, and differences were statistically significant at p ≤ 0.05. Graphs were plotted using Graph Prism 7.0; transmission chains were plotted using OrignPro version 2022; models were fitted using Berkeley Madonna 8.3.18; differential equations were solved using the fourth-order Runge Kutta method; and model convergence was based on the root least mean square (LRMS), further using the coefficient of determination (R2) to determine the goodness of fit. The Rt was calculated using the EpiEstim package in R software.
6
Prognostic Significance of ZNF471
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For statistical analysis, Graphprism 7.0 (La Jolla, California) and SPSS23.0 software (Chicago, IL) were used. All experimental analysis was performed in triplicate, and results are expressed as the mean ± SD compared by Student’s t-test. Univariate and multivariate Cox regression analyses were used for assessing the prognostic significance of ZNF471. p values < 0.05 demonstrated a significant difference.
7
Prostate Cancer Survival Analysis
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Baseline characteristics in different PSA level groups (<4.0 ng/ml, 4.0-10.0 ng/ml, 10.1-20.0 ng/ml, and >20.0 ng/mL) and T stage groups (T1, T2, T3a, T3b-4) were described. Kaplan-Meier analysis was introduced to assess the PCSS in different PSA levels and T stages groups and the survival curves were constructed. Univariate and multivariate Cox analysis were used to calculate hazard ratios (HR) and its 95% confidence interval (95% CI). For groups with similar PCSS results in the overall cohort, propensity-score matching (PSM) based on the nearest-neighbor matching principle was adopted to balance the covariates and generate the matched cohorts. The PCSS was reevaluated in the matched groups to verify the results in overall cohort. All statistical analyses were conducted in the software of SPSS 25.0 and Graph prism 7.0.
8
Optimized Protein Extraction Protocol
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Results are shown as mean ± standard deviation (SD) of at least 3 replicates. Student’s T-tests with 95% confidence intervals were used for comparison. All analyses were carried out by using GraphPrism 7.0.
9
Comparative Survival Analysis of Cancer Treatments
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The χ 2 test was adopted to assess the differences among RP, EBRT, and EBRT + BT groups. Propensity score matching was conducted to balance the covariates and generated new matched cohorts. Kaplan-Meier and Cox analyses were performed in both overall and matched cohorts. The effects on survival and prognoses were evaluated by the hazard ratio (HR) with 95% confidence interval (95% CI). All of the statistical operations above were conducted with the software SPSS 25 and Graph Prism 7.0. p < 0.05 was considered statistically significant.
10
Evaluating GNE-987 Cytotoxicity in Leukemia
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Leukemia cells were seeded in the 96-well plate and GNE-987 was added at different concentrations. Control group cells were treated with 0.05% dimethyl sulfoxide (DMSO) without GNE-987 in complete medium. Cell viability was determined by a Cell Counting kit-8 (CCK8) assay (Dojindo Molecular Technologies, Tokyo, Japan) according to the manufacturer’s instructions after 24 h of drug treatment. Each concentration was tested in three independent experiments. Cell proliferation was quantified using Graph Prism 7.0 (GraphPad Software Inc., San Diego, CA, USA).
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