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Sigma plot 2000

Manufactured by IBM
Sourced in United States

Sigma Plot 2000 is a data analysis and graphing software used for scientific and engineering applications. It allows users to import, manipulate, and visualize data through a variety of plotting options and tools.

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7 protocols using sigma plot 2000

1

Statistical Analysis of Experimental Data

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Experimental data were analyzed using one-way analysis of variance (ANOVA) or two-tailed Student’s t test to determine the statistical significance (Sigma Plot 2000, SPSS Inc). If a significant difference was found by ANOVA, the Tukey–Kramer multiple comparison procedure was then used to determine which means differ. The results were expressed as mean ± standard errors (SEM). All experiments were repeated at least three times. A p value <0.05 was considered to be statistically significant.
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2

Patch Clamp Data Analysis Protocol

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Data analysis and curve fitting of patch clamp experiments were carried out using RClamp, GraphPad InStat (GraphPad Software, San Diego, CA), and SigmaPlot 2000 (SPSS Inc., Chicago, IL). Pooled data are expressed as means±standard errors of the mean (SEM), and statistical comparisons were made with p<0.05, or p<0.01 considered significant. Current amplitudes were measured before and after application of the respective drugs. The percent inhibition values were calculated according to the following equation:
%inhibition=Initial current amplitude (control) - Current amplitude in thepresence of drugInitial current amplitude (control)×100
Effects were calculated from the results of 3~5 experiments per concentration of the drugs. Concentration response relations were calculated by a non-linear least squares fit equation [Hill equation; f=xH/(IC50H+xH); H=Hill coefficient, IC50=IC50, x=concentration, f=inhibition ratio] using the SigmaPlot 2000 program for the half-maximum inhibiting concentration (IC50).
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3

Statistical Analysis of Experimental Data

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In the present study, all the results were expressed as means ± SEM. Statistical analysis was performed using the SigmaPlot 2000 software (SPSS Inc., Chicago, IL). All the data were analyzed using a one-way analysis of variance method to determine the differences among the groups. In this study, the groups were considered to be significantly different at P < 0.05 and extremely significant at P < 0.01.
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4

Vibrational Microspectroscopic Imaging of CER

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Vibrational microspectroscopic images were generated from IR spectral data using ISys software (v 5.0; Malvern Instruments Ltd). Image planes of spectral parameters (integrated peak area or peak height) were produced after linear baselines were applied in spectral regions of interest. Image planes of CER concentrations were generated after using the extinction coefficient to estimate concentration. Figures were generated with SigmaPlot 2000 (SPSS Inc., Chicago, IL, USA).
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5

Statistical Analysis of Experimental Data

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Two-tailed Student’s t-tests were used to determine the statistical significance between two groups (Sigma Plot 2000; SPSS Inc., Chicago, IL, USA), and were expressed as mean ± standard errors (SE). All experiments were repeated at least three times. A P-value of <0.05 was considered to be statistically significant.
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6

Comparative Analysis of Protein Assays

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The results are mean values and standard deviations of 3 measurements from 2 independent assays. Statistical analysis was performed using Sigma Plot 2000 software (SPSS, USA). The results were compared by an Analysis of Variance (ANOVA) general linear model followed by Tukey’s post-hoc test. Statistical significance was determined as p<0.05.
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7

Synergistic Antibiotic Combinations

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The combinations of TPZs with conventional antibiotics were conducted at varying concentrations of TPZs (by serial two-fold dilution) in the presence of several fixed sub-inhibitory concentrations of antibiotics.The inhibitory activities were assessed by the same method as described above. The obtained results were expressed in terms of the fractional inhibitory concentration index (FICI): FICI = FIC A + FIC B , where FIC A = (MIC of compound A in combination with B)/(MIC of A used alone) and FIC B = (MIC of compound B in combination with A)/(MIC of B used alone), and interpreted as synergism (FICI ≤ 0.5), partial synergism (0.5 ≤ FICI ≤ 0.75), additive (0.75 ≤ FICI ≤1) and indifferent (non-interactive) effect (1 < FICI ≤ 2) ( [31] (link)[32] (link)[33] (link), and refs. therein). For each drug combination, FICI values were defined from three independent experiments. For graphical representations, the isobolograms of the combined action of the compounds (by plotting FIC A versus FIC B values for the test TPZs and conventional antibiotics, respectively) were generated using the Sigma Plot 2000 (SPSS Inc., version 6.10, Chicago, IL, USA) software package.
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