I have recently completed a pilot study where I have three groups - one is a knockout model treated with a vector expressing my gene of interest, one is a heterozygous model which would express the GOI and the last is an untreated knockout model. This study is to simply see if my synthetic plasmid can successfully restore gene expression. Since the plasmid is a synthetic version of my gene (codon optimized and therefore a different sequence that naturally occurring) my designed primers for qPCR only detect the synthetic plasmid. This is obvious in my raw cq data as the values are 35+ for the other two untreated groups. However I am stuck on how to present my data since the double delta cq method requires a calibrator/control sample - anything appearing in my other two groups is essentially noise and I think that it would be incorrect to use one of the untreated groups as a control. I could present my data as simply only the delta cq using the GOI-housekeeping gene Cq values but I am not sure if this is a standard presentation method and I'm struggling to find anything but the double delta cq method. Everything I have found so far is much more complicated looking at studies with far more variables than this more basic study design. It is clear to me that the treated samples have expression of my synthetic plasmid based on raw data but how do I present this in the best way possible?