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Sigmaplot 12.0 for windows

Manufactured by IBM
Sourced in United States

SigmaPlot 12.0 for Windows is a data analysis and graphing software. It provides tools for creating various types of plots and charts from data. The software is designed to work on the Windows operating system.

Automatically generated - may contain errors

2 protocols using sigmaplot 12.0 for windows

1

Quantifying Small-Molecule Inhibition Kinetics

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Inhibition curves were fitted using the non-linear regression [Inhibitor] vs. response – Variable slope (four parameters) model on GraphPad Prism 7.03 (GraphPad Software). Maximum inhibition and half maximal inhibitory concentration (IC50) values were calculated for each experimental repeat and reported as mean ± SD (n ≥ 3). Statistical analyses were performed with the two-tailed unpaired t-test. P < 0.05 was considered statistically significant.
Stopped-flow fluorescence traces were analyzed using a Pro-Data Viewer (Applied Photophysics Ltd). Assuming pseudo-first-order kinetics with [PA] at least 5-fold higher than that of NBD P9 PAI-1 or its complex with Nbs, a single exponential equation was fit to the stopped flow traces to calculate kobs. The quality of the fit was estimated by visual analysis of the plots of the residuals (deviation of the fitted function from the actual data). The values of kobs (n ≥ 3; standard error < 10%) were plotted against [PA]. Plots were fitted by hyperbolic or linear equation to calculate parameters (klim, Km, and klim/Km), using nonlinear least squares fitting with the Levenberg-Marquardt algorithm (SigmaPlot 12.0 for Windows; SPSS Inc). Correlation coefficients (r) calculated from curve fittings were used as a parameter of the goodness of fit; r2 of the fit was greater than 0.90 for all the kinetic data.
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2

Behavioral and Neurochemical Analysis

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The following dependent variables were analyzed using a two-tailed independent Student's t-test (open-field, social interaction, and 5-HT, norepinephrine, and dopamine concentrations). Fear conditioned freezing behavior was analyzed using a one way ANOVA with repeated measures with drug treatment as main factor and time as the repeated measures. In the presence of significant main effects, between-subjects post-hoc tests were conducted using two-tailed independent Student's t-tests. Statistical significance was accepted with p ≤ 0.05. All statistical analyses were carried out using SPSS 22.0 (SPSS Inc., Chicago, IL, USA) and all graphs were generated using SigmaPlot 12.0 for Windows (SPSS Inc.) and figure-plate illustrations were done using CorelDraw version 12 for Windows.
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