The largest database of trusted experimental protocols

1 175 protocols using sigmaplot 11

1

Reproducible Biological Replicates Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data presented are average of biological replicates. The numbers of biological replicates considered for each experiment are mentioned in the legend for respective figure. Error bars represent ± SEM. Significant differences among treatments were determined by one-way ANOVA and applying the least-significant difference post-hoc Tukey's test (p < 0.05) (SigmaPlot 11.0, Systat Software Inc., California, USA). The test of significance applied in RT-qPCR analysis was Student's t-test (p < 0.05) (SigmaPlot 11.0, Systat Software Inc., California, USA).
+ Open protocol
+ Expand
2

Comparative Analysis of Gene Expression

Check if the same lab product or an alternative is used in the 5 most similar protocols
For comparing two different culture conditions, hFF (n = 9) and suspension (n = 7) when using TLDA arrays, the unpaired t-test was used with a two-tailed p value (Prism 6, GraphPad Software, Inc., CA, USA). For comparing all cell lines and culture conditions separately, one-way ANOVA was used with the Bonferroni multiple comparison test (Prism 6, GraphPad Software, Inc., CA, USA). Levels of gene expression are expressed as means ± standard deviations (SDs). One-Way RM ANOVA (SigmaPlot 11.0; Systat Software Inc., CA, USA) was used to compare values under the different experimental conditions. Following the Shapiro–Wilk test for normality, pair-wise multiple comparisons were performed with Holm–Sidak or Dunnett’s procedure (SigmaPlot 11.0; Systat Software Inc.; CA, USA), as indicated in the figure legends. A p-value of ≤ 0.05 was considered statistically significant.
+ Open protocol
+ Expand
3

Gene Expression and Testosterone Regulation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Gene expression, apoptotic frequency, and testosterone production were calculated as the means ± standard deviations (SD) for the triplicates run under each condition. Student’s t-test, One-way ANOVA and One-way RM ANOVA were applied to compare the differences between experimental conditions (SigmaPlot 11.0; Systat Software Inc., CA, USA). Following the Shapiro–Wilk test for normality, pairwise multiple comparisons were performed with the “Holm–Sidak” procedure as stated in the Figure legends (SigmaPlot 11.0; Systat Software Inc.). A difference was considered to be statistically significant if the p value was ≤0.05.
+ Open protocol
+ Expand
4

Evaluating Supersaturation of ABZ Formulations

Check if the same lab product or an alternative is used in the 5 most similar protocols
BioGIT data collected with ABZ free base formulations were evaluated versus recently reported intraluminal data after administration of ABZ free base formulations. 11 (link) Intraluminal data are presented as box-whisker plots showing the mean value, the median value, the 10th, 25th, 75th, and 90th percentiles, and the individual outlying data points.
Supersaturation in duodenal compartment was evaluated by estimating the degree of supersaturation (DS):
DS > 1 indicates supersaturation, DS ¼ 1 indicates saturation, and DS < 1 indicates unsaturated solution.
A 1-sample t-test (Sigmaplot 11.0, Systat Software, Inc., San Jose, CA) was applied for evaluating whether a sample mean DS value comes from a population with mean of 1. Differences between solubility in human fluids and biorelevant media and between ABZ free base and ABZ sulfate were evaluated with an unpaired t-test (Sigmaplot 11.0, Systat Software, Inc., San Jose, CA). Type I error was set at 0.05, in all cases.
+ Open protocol
+ Expand
5

Adhesive Bond Strength and Penetration

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data obtained by bond strength (MPa) and penetration depth (%) were analyzed by 2-way ANOVA (application technique vs. conditioning protocols) and Tukey post-test (p=0.05). The Sigma Plot 11 software (Systat Software, San Jose, California, USA) was used for statistical analysis. Data from the fracture modes were qualitatively analyzed.
+ Open protocol
+ Expand
6

Germination and Polyphenol Analysis of Genotypes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total germination percentages, after arcsine transformation, and total polyphenols content were analysed by a randomized two-way analysis (main factors: genotypes and seed treatments) of variance (ANOVA) using COSTAT version 6.003 (cohort 3 Software). Data were arranged in a complete randomized experimental design with three replications. When the F test of the ANOVA was significant, treatment means were separated at p ≤ 0.05 according to the Least Significant Difference (LSD) method (Snedecor and Cochran 1989) . On the treatments achieving at least 50% germination, the time (hours) to 50% germination (t50) was calculated by a logistic equation with three parameters (SIGMAPLOT 11 software, Systat Software Inc., San Jose, California, USA):
where a is the maximum value of germination observed for each genotype, x is the time after seed imbibition, expressed in hours, x 0 is the time (hours) to 50% seed germination, b is a fitting parameter of the curve. The x value on the curve, which corresponded to 50% germination, was assumed as theoretical time (t50) to 50% germination (Patanè et al. 2016) (link). The confidence intervals of t50 were calculated on the 95% confidence bands of the logistic curve (SIGMA-PLOT 11 software).
+ Open protocol
+ Expand
7

Cocaine Generalization and Response Rate Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Graphical presentation of all data depict mean ±SEM. Response distribution data are expressed as percent cocaine-appropriate responding, which is the number of responses emitted on the cocaine-trained lever as a percentage of the total number of responses emitted. Response rate is the total number of responses divided by the time elapsed (in seconds) during the test session. Full generalization was said to occur if the group mean was significantly different (via one way ANOVA, followed by pairwise comparisons using the Holm-Sidak method) from saline and > 80% of the total responses were made on the cocaine-appropriate lever. Response rates were considered significantly different from control if the group mean was significantly different (via one way ANOVA, followed by pairwise comparisons using the Holm-Sidak method) from rates during the saline test session.
Potency data represent the mean ED50± 95% confidence intervals. ED50 values were considered statistically different in cases where the confidence intervals were nonoverlapping. SigmaPlot 11 software (Systat Software, San Jose, CA, USA) was used to generate figures, interpolate ED50 values, and conduct statistical analyses.
+ Open protocol
+ Expand
8

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
SigmaPlot® 11 software (Systat Software Inc., Chicago, IL, USA) was used for the statistical analyses. Parametric analysis was performed by Student’s t-test. A p-value <0.05 was considered statistically significant.
+ Open protocol
+ Expand
9

Cocaine Generalization and Response Rate Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Graphical presentation of all data depict mean ±SEM. Response distribution data are expressed as percent cocaine-appropriate responding, which is the number of responses emitted on the cocaine-trained lever as a percentage of the total number of responses emitted. Response rate is the total number of responses divided by the time elapsed (in seconds) during the test session. Full generalization was said to occur if the group mean was significantly different (via one way ANOVA, followed by pairwise comparisons using the Holm-Sidak method) from saline and > 80% of the total responses were made on the cocaine-appropriate lever. Response rates were considered significantly different from control if the group mean was significantly different (via one way ANOVA, followed by pairwise comparisons using the Holm-Sidak method) from rates during the saline test session.
Potency data represent the mean ED50± 95% confidence intervals. ED50 values were considered statistically different in cases where the confidence intervals were nonoverlapping. SigmaPlot 11 software (Systat Software, San Jose, CA, USA) was used to generate figures, interpolate ED50 values, and conduct statistical analyses.
+ Open protocol
+ Expand
10

Survival Analysis Protocol for DNA-PKcs Mutant

Check if the same lab product or an alternative is used in the 5 most similar protocols
For survival analysis, the sample size was determined based on formula suggested by Schoenfeld 49 (link) with an estimated relative risk of 5, estimated median survival of 12 months for DNA-PKcs3A/3A group, and a total of two year follow-up. P-values for survival curves were determined from the Kaplan–Meier survival curves by use of the log-rank test. For comparisons of quantitative data among groups, multiple samples for each group were included and analyzed with Wilcoxon rank-sum test (compare two groups) and Kruskal-Wallis test (compare multiple groups). Same experiment was replicated at least once using different cell lines or mice. The number (N) for each group and batch number of experiments are indicated in the corresponding figure legends. P-values <0.05 were taken as statistically significant. For comparison among three groups, P-values were adjusted to 0.0167. Sigmaplot 11 software (Systat Software, Chicago, IL) was used for statistical analysis. Survival curves and histogram figures were generated by GraphPad Prism software (GraphPAD Software, San Diego, CA).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!