The data were analyzed and plotted using Microsoft Excel 365 and GraphPad Prism Version 9.0.0. Protein titre or total protein production data were normalized against the control and expressed as a percentage with the control set at 100%. One-way Analysis of Variance (ANOVA) with Dunnett’s comparison test against the control was used when examining three or more different parameters, whereas a two-tailed unpaired parametric t-test was performed when comparing two parameters.
Excel 365
Manufactured by GraphPad
Excel 365 is a spreadsheet software application that is part of the Microsoft Office 365 suite of productivity tools. It provides users with a digital environment to organize, analyze, and visualize data through the use of cells, formulas, and various data visualization features.
Automatically generated - may contain errors
Lab products found in correlation
Prism 8, by GraphPad (3 mentions)
Prism 10, by GraphPad (2 mentions)
Instat, by GraphPad (1 mentions)
Design expert software, by Stat-Ease (1 mentions)
Prism 7, by GraphPad (1 mentions)
Spss version 28, by IBM (1 mentions)
Originpro 8, by OriginLab (1 mentions)
Oligoanalyzer, by Integrated DNA Technologies (1 mentions)
15 protocols using excel 365
1
Protein Quantification and Statistical Analysis
2
Statistical Analysis of PCP Calibration
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Microsoft Excel 365 and GraphPad Instat software (version 3.05) were exploited for statistical calculations. Linear regression models were adopted for PCP calibration. Design expert software (version 13) was used for producing Box–Behnken experimental design model and calculating its statistical parameters. Student's t-test and F test were utilized for comparison between the proposed and reported methods.
3
Statistical Analysis of Biological Replicates
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Results are shown as the arithmetic mean of biological replicates ± standard deviation (SD) from a representative experiment. Statistical significance was determined by a paired two-tailed Student’s t-test, unless stated otherwise, using Microsoft Excel 365 and/or GraphPad Prism version 8. Only values below 0.05 were considered significant: p ≤ 0.05 (*), p ≤ 0.01 (**) and p ≤ 0.001 (***).
4
Statistical Analysis of Experimental Data
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Statistics were calculated either in Microsoft Excel 365 using the t-test function or GraphPad Prism 10 using one-way ANOVA, two-way ANOVA, or multiple unpaired t-test, as indicated in the figure legends. For patient survival studies, Kaplan–Meier survival curves of different groups were compared using log-rank tests. Statistical significance was based on p < 0.05.
5
Statistical Analysis of Biological Experiments
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All numerical data in this study was presented as the mean from experiment replicates or independent experiments as described in the figure legends. Statistical significance between groups were analyzed using Student’s t-test with α = 0.05 except Figure 6 , for which one-way ANOVA with Dunnett’s multiple t-test (α = 0.05) were employed. The analysis was done using Microsoft Excel 365 except Figure 6 , for which GraphPad Prism 7 was used for analysis.
6
Comparative Statistical Analysis of Scalar Biomarkers
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Statistical analysis aimed to assess differences between scalars in disease groups relative to healthy control. The data were assessed for normality of distribution using the D'Agostino-Pearson and the Kolmogorov-Smirnov normality tests. Overall, the distribution of data was normal; one-way analysis of variance (ANOVA), followed by pairwise t-tests were used to assess differences between the disease datasets. Differences between sample sets (surgical and post-mortem), male and female donors, age groups and BMI groups were assessed using ANOVA or t-tests, depending on the number of compared sets. Correlations between liver and kidney data were assessed using Spearman's correlation test.
Statistical analysis was carried out using Excel 365 and GraphPad Prism 10.0.2 (GraphPad Software, La Jolla, CA).
Statistical analysis was carried out using Excel 365 and GraphPad Prism 10.0.2 (GraphPad Software, La Jolla, CA).
7
Optimization of Cell Culture Protocols
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All experiments were performed in triplicate. The data are reported as the mean ± one standard error/standard deviation of the mean (mean ± SEM/SD), determined by using Microsoft excel 365. Regression analysis was analyzed using Microsoft excel 365 or GraphPad Prism 8. Statistical significance of the data was calculated by one-way ANOVA using IBM SPSS version 28, in which a p value of ≤0.05 was accepted as a significant difference. Also, evaluations of normality test and homogeneity of variance test were considered.
8
Optimizing Protein Extraction Yield
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9
Comparative Analysis of Biochemical Markers
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Microsoft Excel 365 and GraphPad Prism® version 9 was used to organize and analyze data. Two-way ANOVA (analysis of variance) was performed with Bonferroni post hoc test to measure significant variation in control vs. treated samples. Correlation analysis was performed using Pearson’s correlation coefficient. p-value 0.05 was considered to be statistically significant.
10
Differential Proteomic Analysis of Samples
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Statistics were performed using Microsoft Excel 365 and GraphPad Prism 8. p-values were calculated by a two-tailed uncoupled t-test of 4 technical replicates per sample. Setting a false discovery rate of 5% by a two-stage linear step-up procedure of Benjamini, Krieger, and Yekutieli [60 (link)] allowed us to obtain lists of significantly differentially abundant proteins whose encoding genes were given to ShinyGO for obtaining pathway analyses through KEGG and Gene Ontology databases.
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