Dear colleagues,

I recently jumped in this field and I was trying to recreate a study, using absolute qPCR quantification for comparison between the abundance of certain bacterial specie in two groups of samples. After optimization of my protocol, I ran 2-step qPCR on 96-well plates with samples in triplicates and I ran the reaction three times in order to get the variance.

I am going for absolute quantification, with a standard curve with Ef ranging from 1,979 to 1,891 (98,95 to 94,5 %) with LunaMix from NEB. However, even though I used the same protocol, my values have a big variance between the plates. I would like to normalize them to use them in the same data set in order to have a more robust analysis. The ratio between the diseased and healthy group (16/8 at each 95well plate) is the same at each plate.

Is there a way to normalize the data in order to use them in one dataset? Also, if you are just looking, it is necessary to have more than 1 reaction apart from technical replicates?

I will much appreciate your help.

Sincerely, Martin

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