# Calculating Standard Errors and Normalising to Transgene - (Feb/03/2013 )

OK,

Maths has never been a particular strong point and I need someone to explain this to me in the most simple way possible.....and I'm relatively new to RT-PCR.

There are three different problems relating to two different data sets in this post:

Problem 1. I have measured the Ct values for a number of genes of interest and a reference gene in the left atria and right atria of both mutant and wildtype samples (i.e. 4 groups). I have then compared left and right atria between wild type; left and right atria between mutant; left atria between mutant and wildtype and finally, right atria between mutant and wildtype.

I have calculated the fold change for my genes of interest using both the Delta delta Ct method (i.e. not correcting for PCR efficiency, which is what the previous 'expert' in the lab did) and correcting for PCR efficiency using REST2009 (which provides me with a whisker-box plot and errors). But my boss insists on wanting to see standard errors, the errors on the whisker plots are huge so I need to show him something that is comparable to the previous 'expert'. So I have taken the DeltaDelta Ct values (i.e. % of Ref Gene), calculated the average and the standard error using these values and plotted them. Is this correct?

He said that he wanted to see the standard error for the fold change, but as not all my samples are properly paired (i.e. mutant and wildtype are different samples) I have calculated the fold change using the mean Ct values for the group. So as far as I can see there is no correct way of applying errors to this value?

Problem 2: I have measured Ct values for a number of genes of interest and a reference gene in mutant and wildtype samples (i.e. 2 groups). Having calculated the fold change for my genes of interest using both the Delta delta Ct method and a method that factors in PCR efficiency (REST2009), my bosses want me to correct for differential transgene expression. Has anyone done this? If so, how? Again, because the Ct values are logarithmic I'm not sure how to go about it. Should I inverse log the DdCt for the GOI, and divide by the inverse log of the DdCt for the transgene, then re-log the value?

I'm not sure if I'm being asked to do the impossible? And the previous 'experts' methods are questionable at best!

Problem 3: more generic. The 'expert' also normalises the DdCt of all samples to a calibrator sample, which is a wt sample selected at random. Is this normal practise? To do this, they calculate 2^(DdCt sample-DdCt calibrator)?? I could understand using the average of the WT group but not one sample?