Hi,
I have Michaelis-Menten curves for 2 conditions (control VS disease) to look at the difference in activity of my enzyme of interest. I'd like to see the best way to quantify the difference in activity statistically. I have attached my curves. The blue + purple curves are biological replicates of control and the green + red curves are disease samples. I'd like to quantify the change in the enzyme activity.
Any help would be appreciated!
If you use a nonlinear regression program to fit the data for each curve to the M-M equation, it will give you best-fit values of Km and Vmax. It will also give you values for the standard error of the best-fit value of each fitted parameter. You should be able to use a statistical test of some sort (e.g. t-test, but I'm not sure about the best way) to compare the values of each parameter between pairs of curves to see if any differences are statistically significant.
However, I think a better way would be to prepare 3 independent M-M plots for each condition, and use nonlinear regression to fit each plot individually to obtain 3 Kms and 3 Vmaxs for each condition. Then you will have 3 independent measurements of each parameter, allowing you to calculate averages and standard deviation. Then you can do t-tests on pairs averages to test for statistical significance of the differences.
Adam B Shapiro Thank you so much for the response, that was very helpful!
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