Hi,

I`m now analyzing correlation coefficient (Pearson) for mRNA level and fat content.

My problem is I`m not sure how to compute the mRNA levels (measured by Real-time PCR) in the Pearson formula and the scatter plot using Excel.

I was thinking to use the ∆Ct (target gene - reference gene), but then I found some papers using the 2-ΔΔCt, and one of them also used 2-ΔCt.

Also, I`ve been searching about how to make the scatter plot and trendline for this Pearson test in Excel.

Using Excel, I always end up with the graph for regression analysis and I don`t know how to make the graph or trendline into Pearson.

I checked the R values for regression and Pearson and they both are quite the same, although I`m kind of sure that the graph would be somehow different between those two tests.

Hope my questions aren`t (gramatically) confusing and anyone can help me because my head is spinning right now

Thanks!

## mRNA level-Pearson-Excel (View forum version)

### nikou

Posted 27 January 2009 - 02:09 AM

### pcrboy

Posted 27 January 2009 - 03:11 AM

The standard approach is to normalize your data, generally by using the control. Although I'm unfamiliar with the 2-dCt, I do understand how dCt is trying to normalize all data for mRNAs. Also, if your qPCR contains only relatively few samples, it may be good to try to calculate a p-value. As for the correlation coefficient, there is a simple function in excel (CORREL i think) which will calculate the Pearson coefficient for you.

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