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Biostat 2009

Manufactured by AnalystSoft
Sourced in United States, Canada

BioStat 2009 is a versatile laboratory instrument designed for biological and biochemical applications. It is capable of performing various functions, including temperature control, pH measurement, and data logging. The device is intended for use in research laboratories and scientific environments.

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12 protocols using biostat 2009

1

Determination of Venom Lethality and Antivenom Efficacy

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The LD50 of the N. senegalensis venom was determined in a murine model. Various dilutions of venom in normal saline were injected intravenously into the caudal veins of ICR mice (n = 4 for each dose). The survival ratio was recorded after 24 h. Neutralization of the venom by the homologous antivenom was determined by preincubating a challenge dose (5 × LD50) of the venom with various dilutions of the antivenom at 37 °C for 30 min. The mixture was then injected intravenously into the caudal vein of mice (n = 4 for each dosage). Probit analysis method [82 (link)] was used to calculate the median lethal dose (LD50) and median effective dose (ED50) using the BioStat 2009 analysis software (AnalystSoft Inc., Vancouver, Canada). The potency (P) of antivenom neutralization was calculated according to Morais et al. [83 (link)]. For comparison, the neutralization potency was further normalized to normalized potency (n-P) as described previously [18 (link),84 (link)].
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2

Nonparametric Statistical Analysis

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We applied the nonparametric Wilcoxon/Mann–Whitney U–test to measure statistical significance between the two groups. We used Kruskal-Wallis test for multiple comparisons. Data were considered significant at P < 0.05. The statistical procedures were performed with a BioStat 2009 professional software (AnalystSoft Inc., USA).
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3

Statistical Analysis of NGF Effects in Podoplanin Mice

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All statistical analyses were carried out using BioStat 2009 professional software (AnalystSoft Inc., Walnut, CA). Comparisons between two groups were analyzed by unpaired, two-tailed Student´s t-test. For Western blot analysis, investigating the effects of NGF in podoplanin−/− and wild-type mice, unpaired, two-tailed Student´s t-test or two-way ANOVA (treatment × genotype) was employed. LTP in podoplanin−/− and wild-type mice was evaluated by mixed-model repeated measure ANOVA. p < 0.05 was considered statistically significant in all instances.
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4

Statistical Analyses of Experimental Groups

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For statistical analyses of differences between two groups, data were tested for normality using the Kolmogorov–Smirnov test, followed by unpaired two-tailed Student's t tests (results depicted in Figures 1a–1f, 2a–2d, 2f–2g and 3g). For experiments involving more than two groups and/or more than one factor, one-way (results depicted in Figure 3c) or two-way ANOVA analysis (results depicted in Figures 2e, 3b and 3f) was carried out as appropriate. Post-hoc pairwise comparisons, with Bonferroni correction for multiple comparisons, were conducted where indicated. An α-level of 0.05 was adopted in all instances. All analyses were carried out using BioStat 2009 professional software (AnalystSoft Inc., Alexandria, VA, USA).
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5

Biofilm Biomass Comparison Using Mann-Whitney U

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The nonparametric Mann–Whitney U Test for two independent samples was employed to test differences in the biofilm biomass between pairs of adjusted versus control surfaces for each material. Statistical significance was set at the 5% probability level. Tests were performed with BioStat 2009 (AnalystSoft, Alexandria, VA, USA).
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6

Statistical Analysis of Variability

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The coefficient of variation (CV) was calculated as the ratio of the standard deviation to the mean in each dataset. The Kolmogorov-Smirnov test was applied using the BioStat 2009 software (AnalystSoft).
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7

Statistical Analysis of Experimental Data

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Statistical analysis was performed using BioStat 2009 software (AnalystSoft, Vancouver, Canada). The results are presented as means ± SD. Shapiro-Wilk W test was used to confirm normal distribution of the data. Homogeneity of the variance was studied by Levene's test using SPC for Excel Software (BPI Consulting, LLC, Cypress, TX, USA). Significant differences were determined using one-way ANOVA followed with a Tukey-Kremer post hoc analysis. Statistical differences between treated and untreated cells in experiments with neutralizing antibodies were determined using a paired Student's t-test.
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8

Analysis of Inflammatory Response

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Considering the pioneering of the study, the number of animals was decided after analysis of the relevant literature.
15 (link)
23 (link)
The data obtained in the quantitative analysis of the inflammatory response were tabled and statistically analyzed with the BioStat 2009 program (AnalystSoft Inc., Alexandria, VA, USA). First, the data were submitted to the Shapiro-Wilk test to verify the normality of the groups and after the analysis of variance (ANOVA)/Tukey test for parametric data, and Kruskal-Wallis/Dunn for non-parametric data, to determine the significance of the results. The level for rejection of the null hypothesis was set at 5% (
p≤ 0.05), with an asterisk marking the significant values.
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9

Statistical Analysis of Experimental Data

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Statistical analysis was performed with BioStat 2009 software (AnalystSoft, Vancouver, BC, Canada). All data are presented as mean ± SD. Differences between two groups were compared using two-tailed unpaired Student’s t-test. For comparison between multiple groups, ANOVA followed with a Tukey-Kramer posttest applied. p values < 0.05 were considered statistically significant if not stated otherwise.
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10

One-way ANOVA and Tukey–Kramer Analysis

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Differences between groups were analyzed by one-way ANOVA tests followed by Tukey–Kramer Multiple Comparisons Tests. An α-level of 0.05 was adopted in all instances. All analyses were carried out using BioStat 2009 professional software (AnalystSoft Inc).
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