Sigmaplot software

Data are reported as mean ± 1 SEM. Statistical analyses were performed using SigmaPlot Software. When normality tests failed, statistical analyses were performed on square root- or log-transformed data. Corresponding statistical tests are outlined in figure captions.

Differences among treatment mean (the least significant difference (LSD) test) was calculated using the SPSS software (ver. 16.0 for windows) at a significance level of 0.05. Modeling analyses along with the determination of standard deviation, coefficient of variation, the coefficient of determination, and root-mean-square error as well as the drawing the regression graphs were performed using SigmaPlot software (ver. 14).

Sigma Plot software (2004) was used to calculate SD and SE using of the data. The mean values were compared using Duncan’s multiple range tests at P < 0.05 (ANOVA SAS release 9.1; SAS, Cary, NC, USA).

For cell lysate preparation, cells were washed with PBS, detached with 0.25% trypsin (Life Technologies, Gaithersburg, MD), re-suspended in PBS and centrifuged at 2,000 x g for 5 min. Cells were lysed with cold RIPA lysis buffer and centrifuged at 16,000 x g for 30 min at 4°C [22 (link)]. The supernatant was collected as the total cell lysate. Protein concentration measurements were carried out using the Pierce BCA Protein Assay Reagent Kit (Rockford, IL). Western blotting (WB) was done as previously described [22 (link)]. Densitometric quantification of the WB protein detection was performed using the ImageJ program, a public domain image processing software developed at the National Institutes of Health (https://imagej.nih.gov). Briefly, a WB scanned film image (in TIFF format) was imported into ImageJ, the lanes of interest were selected, and lane profile plots were generated. Lines were drawn to enclose the peaks of interest and the peak areas were integrated and converted into pixel intensities. For statistical analysis, one way analysis of variance (ANOVA) was performed using the SigmaPlot software (Chicago, IL).

All laboratory tests (n = 4) were repeated four times. Biochemical assays were carried out twice, with the average of the results used. To guarantee the results' validity, all controls were included. The mean, standard deviation, standard error, and significant changes were calculated using SigmaPlot software version 12 for statistical analysis. The statistical difference between the standard and experimental groups was determined using a Student t-test. Within a specific period, the ANOVA repeated measure was used to determine statistical significance between the control and experimental groups, as well as the standard and all IT groups, and to compare the groups (controls with controls, etc.). Tables and graphs show statistical differences between the untreated controls and experimental groups as P0.05 (∗), P0.01 (∗∗), and P0.001 (∗∗∗), with dispersion bars representing standard error. Purple stars (∗) indicated experimental samples compared to the control; black stars (∗) indicated samples compared to the standard.