Question: Analyzing fold change when Cq value in treatment condition is 0 (not expressed)
1
gravatar for jajarosli
14 months ago by
jajarosli10
jajarosli10 wrote:

Hi everyone,

I conducted RT-qPCR to validate my transcriptome analysis. In my transcriptome data, the genes are expressed in Stage 1, but are not expressed in Stage 2. When I conducted qPCR, I was able to see the same pattern. However, I am facing problem when trying to analyze my data because my Cq value for Stage 2 is zero.How do I calculate my fold change for qPCR when my Cq values for Stage 2 is zero. I've used the readily available excel template and got huge positive number. Appreciate all the help I can get! Thank you!

qpcr • 488 views
ADD COMMENTlink modified 14 months ago by Devon Ryan92k • written 14 months ago by jajarosli10

Well, if it's zero, you can't show a fold change. Better off just showing the Cq values, gets the same idea cross. Just be sure to show them for your reference gene as well.

Edit: Devon's answer is an even better idea.

ADD REPLYlink modified 14 months ago • written 14 months ago by jared.andrews074.0k

Thank you so much for the suggestion!

ADD REPLYlink written 14 months ago by jajarosli10
2
gravatar for Devon Ryan
14 months ago by
Devon Ryan92k
Freiburg, Germany
Devon Ryan92k wrote:

The Cq for an unexpressed gene is the maximum number of cycles that the qPCR machine goes through (for the ones I've used it's been 40), so use that. This will underestimate the actual fold-change, but that's fine.

ADD COMMENTlink written 14 months ago by Devon Ryan92k

That's a great suggestion! Thank you so much. Do you know of any paper that applied this method?

ADD REPLYlink written 14 months ago by jajarosli10
1

In my experience qPCR machines return the number of cycles by default if there's insufficient signal, so I suspect a lot of papers have done this unknowingly.

ADD REPLYlink written 14 months ago by Devon Ryan92k
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