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Sigmaplot v11

Manufactured by Merck Group
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SigmaPlot v11.0 is a data analysis and graphing software developed by Systat Software, Inc. It is designed to help users create high-quality scientific and technical graphs and perform advanced data analysis. The software offers a range of features for data manipulation, curve fitting, and statistical analysis.

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Lab products found in correlation

Prism v6, by GraphPad (2 mentions) Originpro v8, by OriginLab (1 mentions) Sigmaplot, by Merck Group (1 mentions) Spss statistics 19, by IBM (1 mentions) Sigma plot vs11, by Merck Group (1 mentions) Spss v16, by IBM (1 mentions) Fort100, by World Precision Instruments (1 mentions) Prism software, by GraphPad (1 mentions) Sigmastat v 11, by Merck Group (1 mentions) Chemigenius imaging system, by Syngene (1 mentions) Sigmaplot 11, by Merck Group (1 mentions) Spss software package, by IBM (1 mentions) Stata v 13, by StataCorp (1 mentions) Spss version 15, by IBM (1 mentions) Prism 6, by Merck Group (1 mentions)

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SigmaPlot (794 citations)

68 protocols using sigmaplot v11

1

Antioxidant Effects on Parkinson's Model

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All data are presented as mean values (M) and standard deviations (SD). For the statistical assessment of the results from the Apomorphine test, the nonparametric Kruskal–Wallis one-way analysis of variance (ANOVA) with Tukey posthoc tests were applied, as appropriate. For the results from TBARS and GPx evaluation, a two-way ANOVA was conducted on the influence of the two independent variables (treatment group, brain hemisphere). The treatment group included G1, G2, G3, and G4, as per Figure 1, and the brain hemisphere consisted of left and right hemispheres, which were evaluated separately. To isolate which groups differed from the other, a multiple comparison procedure was used. The level of significance p < 0.05 was accepted. SigmaPlot, v. 11.0 was used for statistical evaluation. All rats survived the 6-OHDA unilateral intrastriatal injection and were included in the statistical analysis.
Andreeva-Gateva P., Traikov L., Sabit Z., Bakalov D, & Tafradjiiska-Hadjiolova R. (2020). Antioxidant Effect of Alpha-Lipoic Acid in 6-Hydroxydopamine Unilateral Intrastriatal Injected Rats. Antioxidants, 9(2), 122.
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2

Log-Transformed ANOVA with LSD Post Hoc

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Statistical analysis of data was performed utilizing SigmaPlot (v. 11.0). The test of significance was performed using either one-way ANOVA (Saline x LPS) or two-way ANOVA (pretreatment [Water or CORT] x exposure [Saline or LPS/PIC]) on log transformed values followed by multiple pairwise comparison analysis using Fisher least significant difference (LSD) post hoc test with statistical significance at 5% (p<0.05). Graphical representations are mean ± SEM.
Kelly K.A., Michalovicz L.T., Miller J.V., Castranova V., Miller D.B, & O’Callaghan J.P. (2018). Prior exposure to corticosterone markedly enhances and prolongs the neuroinflammatory response to systemic challenge with LPS. PLoS ONE, 13(1), e0190546.
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3

Statistical Analysis of Experimental Data

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The assumption of normality was tested with the Shapiro-Wilk test for normality prior to additional analysis (Sigma Plot v11.0). Normally distributed data were analyzed by Student's unpaired, two-tailed t-test (2 groups) or ANOVA (>2 groups). Data not normally distributed were analyzed using the Mann-Whitney U test (2 groups) or Kruskal-Wallis one-way ANOVA (>2 groups). P-values less than 0.05 were considered significant for all comparisons.
Watzlawik J.O., Kahoud R.J., Ng S., Painter M.M., Papke L.M., Zoecklein L., Wootla B., Warrington A.E., Carey W.A, & Rodriguez M. (2015). Polysialic Acid as an Antigen for Monoclonal Antibody HIgM12 to Treat Multiple Sclerosis and Other Neurodegenerative Disorders. Journal of neurochemistry, 134(5), 865-878.
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4

Evaluating Cellular Responses to Stimuli

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All data are means ± SE. Statistical analyses were performed, and graphs were constructed using SigmaPlot v11.0. Unpaired or paired t tests were used to compare two groups. Multiple groups were compared using one-way or two-way analysis of variance followed by a Student-Newman-Keuls post hoc test to ascertain statistical differences. A value of P ≤ 0.05 was considered statistically significant for all experiments. Histograms were constructed and fit to multiple Gaussian functions using OriginPro v8.5, and SigmaPlot was used to create the figures. Concentration-response curves were made by fitting data to a four-parameter logistic equation using SigmaPlot.
Sullivan M.N., Gonzales A.L., Pires P.W., Bruhl A., Leo M.D., Li W., Oulidi A., Boop F.A., Feng Y., Jaggar J.H., Welsh D.G, & Earley S. (2015). Localized TRPA1 channel Ca2+ signals stimulated by reactive oxygen species promote cerebral artery dilation. Science signaling, 8(358), ra2.
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5

Skin Delivery Data Analysis

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Skin delivery data were expressed as mean ± SD. Outliers were determined using the Dixon’s Q test (α = 0.05) and discarded. Results were evaluated statistically using SigmaPlot v.11.0. Groups were compared using either analysis of variance (ANOVA) or analysis of means by Student’s t-test. Student Newman Keuls test or Bonferroni T-test were used when necessary as post-hoc procedures. The level of significance was fixed at α = 0.05. (the detailed statistics are presented in Supplementary Information Section 3).
Lapteva M., del Río-Sancho S., Wu E., Carbonell W.S., Böhler C, & Kalia Y.N. (2019). Fractional laser ablation for the targeted cutaneous delivery of an anti-CD29 monoclonal antibody – OS2966. Scientific Reports, 9, 1030.
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6

Statistical Analysis of Experimental Data

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We conducted one‐way ANOVA, two‐tailed t‐test, linear and nonlinear regression analysis test using Sigma Plot v11.0. Normal distribution and equal variance were assessed using Statistical software from Sigma Plot vs11.0. Wilcoxon–Mann–Whitney tests were conducted using IBM SPSS Statistics 19.
Correia‐Melo C., Marques F.D., Anderson R., Hewitt G., Hewitt R., Cole J., Carroll B.M., Miwa S., Birch J., Merz A., Rushton M.D., Charles M., Jurk D., Tait S.W., Czapiewski R., Greaves L., Nelson G., Bohlooly‐Y M., Rodriguez‐Cuenca S., Vidal‐Puig A., Mann D., Saretzki G., Quarato G., Green D.R., Adams P.D., von Zglinicki T., Korolchuk V.I, & Passos J.F. (2016). Mitochondria are required for pro‐ageing features of the senescent phenotype. The EMBO Journal, 35(7), 724-742.
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7

Comprehensive Analysis of Cytokine Levels

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SigmaPlot v11.0 was used for data analysis. Age was analyzed using analysis of variance (ANOVA), and the other items were analyzed using the chi-square test or Fisher’s exact probability test. The chi-square test was used to test categorical variables. To identify a significant difference in alpha diversity, the Kruskal–Wallis rank-sum test was used to evaluate the differences in diversity among the three groups, followed by Dunn’s test of multiple comparisons. To analyze genus differences, the Mann–Whitney test and Wilcoxon signed-rank test were used for the comparative analysis within and between the vaginal and cervical microbiota, respectively. All samples were clustered to low, medium, and high levels to determine the correlation coefficients between individual cytokines according to cytokine levels (logarithm of 10) by average linkage cluster. p < 0.05 was considered statistically significant.
Liu C.J., Xiao W.Y., Fang J.F., Dong Y.H., Ye K.F., He M.P., Wang Y.S., Li X., Zhao Z.M., Yuan T., Zhao T., He C.Y., Zhang S.M., Yang E., Wu X.M, & Li X.R. (2022). Genital Microbiota of Women From Six Ethnic Groups With and Without Human Papillomavirus Infection in Shangri-La, China. Frontiers in Cellular and Infection Microbiology, 12, 935068.
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8

Statistical Analysis of Experimental Data

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The data are expressed as means±S.E.M. and analyzed using GraphPad Prism® v5.0 (La Jolla, CA) and SigmaPlot® v11.0 (San Jose, CA) software. Unpaired and paired Student’s t-tests as well as ANOVA followed by Bonferroni post test was performed, as appropriate, to analyze for statistical differences between groups with P<0.05 considered statistically significant.
Rieg J.A., Chirasani V.R., Koepsell H., Senapati S., Mahata S.K, & Rieg T. (2015). Regulation of intestinal SGLT1 by catestatin in hyperleptinemic type 2 diabetic mice. Laboratory investigation; a journal of technical methods and pathology, 96(1), 98-111.
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9

Dietary Effects on Multiparous Outcomes

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Data were tested for normality and equal variance, and expressed as mean ± S.D., unless otherwise specified. Two-way ANOVA was conducted using factors [Diet (control vs. LPD) × gender (male vs. female)] followed by Student-Newman-Keuls post-hoc test. For non-parametric data, two-way ANOVA on ranks was performed. All statistical tests were conducted at P<0.05 (SigmaPlot v11.0, San Jose, CA).
All experiments include a sample size of 5–6 litters in each diet group, except for in vitro protein binding study where serum from all litters in a diet group were pooled to perform the experiment. Whenever data from two or more littermates were available, an average value was calculated, and considered as a single data point. The arithmetic mean ± S.D. of the litters (5–6) was reported. This is the recommended method of calculating a mean for multiparous species to avoid artificial inflation of the power of statistical tests (Holson and Pearce, 1992 (link); Zorrilla, 1997 (link)).
DuBois B.N., Pearson J., Mahmood T., Nguyen D., Thornburg K, & Cherala G. (2014). Perinatal growth restriction decreases diuretic action of furosemide in adult rats. European journal of pharmacology, 728, 39-47.
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10

Quantitative Analysis of Protein Expression

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Data are expressed as mean value ± standard error of mean (mean ± SEM). If not stated otherwise, levels of significance between groups were calculated using student’s t-test after proving normal distribution. Multiple comparisons were made by factorial variance analysis (ANOVA) adjusted according to Bonferroni (statistical software: Sigma Plot v. 11.0). Levels of statistical significance are indicated as follows *- p<0.05, **- p< 0.01 and ***- p<0.001. All experiments were carried out at least three times.
Gürke J., Hirche F., Thieme R., Haucke E., Schindler M., Stangl G.I., Fischer B, & Navarrete Santos A. (2015). Maternal Diabetes Leads to Adaptation in Embryonic Amino Acid Metabolism during Early Pregnancy. PLoS ONE, 10(5), e0127465.
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