I performed an RNAseq experiment and used DESEq2 to calculate statistical significance of differential expression. When I calculated fold change it ranges from 4 fold to 700 fold. I randomly checked few genes showing very high fold change and observed that mostly all the replicates (three) showed good correlation in raw reads in each group and the difference looks reasonably real. However, I dont think any one can show such large fold change in publication or in analysis. . But biologist would like to show FC. I thought about showing log2 ratio but in other comparisons I am showing FC and can not make exception for one comparison. Any suggestion how to tackle such suggestion.
I think a 700 fold change is quite suspicious... What is the biological setup?
Cells were treated with drug for 5 days in a time course experiment.
I think reviewers in publication will think it is an artifact, however since such large FC is not in other group comparisons in the same experiment provide an assurance that it real. It is challenging to present such large FC Thanks
Can't blame them...
Have you considered validating? Restarting the analysis from the beginning?
What are the raw counts you get for this extreme gene?
I have checked it very thoroughly there is no mistake. Here is snap shot of few such genes raw read from Deseq.
First three columns one grp and last three columns second grp. grp1 is treated and induced expression grp2 is untreated control
I don't see any columns...
And please, do not add further information as an answer, update you original post.
I added markup to your post for increased readability. You can do this by selecting the text and clicking the 101010 button. When you compose or edit a post that button is in your toolbar, see image below:
Please use
ADD COMMENT
orADD REPLY
to answer to previous reactions, as such this thread remains logically structured and easy to follow. I have now moved your post but as you can see it's not optimal. Adding an answer should only be used for providing a solution to the question asked.Is grp1 treated or control? i.e did the drug induce expression or repress?
grp1 is treated induced expression grp2 is untreated control
Have they been sequenced at the same time? Are the coverages roughly similar (size factors?) ?
Post the normalized counts. In general, though, if the genes are going from "little/no expression" to "moderate/high expression" and this seems biologically reasonable given whatever the drug is expected to do then there's little reason to complain. You should certainly validate a few of those regardless.
normalized counts of 4 such genes Grp 1 is treated Grp2 is control
How exactly are you getting negative normalized counts? Are these log2 transformed or something?