Hi All,
I just have a quick question/confusion.
I have performed DEseq analysis of some RNAseq data and found genes to be quite nicely deferentially regulated.
Another fellow in the lab has performed the qrt-PCR and we have found our data to be quite similar. I am curious about the 2-DeltaDelta Ct normalization. I see that our fold change from qRt-PCR match our Log2Fold change data from Deseq and am curious as to what point in the qrt-PCR has the log2 Transformation as I cannot see it directly. I am assuming the 2**
step is most likely the case but this has me confused as I would expect the 2**
step would take the data from a log2 and hence should make the comparisons to the Fold change in the DEseq data not the Log2 Fold Change.
Any help would be appreciated.
Hi Charles
Great that makes a lot of sense, but then does the
2**(-deltadeltaCt)
mean it takes it from the log2 Space to represent the Fold Change or does it Stay in the Log2FoldChange space?My impression is the
2**
will remove it from the log2 space.Cheers
"fold-change" and "deltadeltaCt" can vary a bit their definitions. The transformation you describe will convert from a log2 to a linear scale. Whether that is the precisely right strategy depends upon what you want.
For example, my guess is that the first deltaCt was a normalization based upon GAPDH levels: however, it matters whether
Ct(GAPDH) - Ct(GeneX)
orCt(GeneX) - Ct(GAPDH)
was used. Similarly, I think the second deltaCt represents the difference taken between groups (which is the part that is most similar to the fold-change), but obviously it matters which group was used as the reference.