Hi,
I would like to compare two RNA-Seq tables of log2fc and obtain new values of log2fc. Is it possible?
Situation:
Parental strain and Mutant strain can not grow directly on sugarcane bagasse, so they were cultured first on glycerol for 24 h and then transfered to sugarcane bagasse and cultured for more 24 h.
I would like to know if there are differentially expressed genes between Parental strain and Mutant strain on sugarcane bagasse, although I would like to discount the interference of glycerol in this expression.
I have log2fc and adjusted p values for these comparisons:
Mutant strain after 24 h glycerol in relation to Parental strain after 24 h glycerol.
Mutant strain after 24 h glycerol plus 24 h sugarcane bagasse in relation to Mutant strain after 24 h glycerol.
Parental strain after 24 h glycerol plus 24 h sugarcane bagasse in relation to Parental strain after 24 h glycerol.
Mutant strain after 24 h glycerol plus 24 h sugarcane bagasse in relation to Parental strain after 24 h glycerol plus 24 h sugarcane bagasse.
If the gene A log2fc value is -3 is table 1 (the gene is negatively regulated in Mutant strain in relation to the Parental strain after 24 h glycerol), and then -1 in table 4, I wonder if the effect of sugarcane bagasse growth in Mutant strain was to negatively regulate gene A, in relation to the Parental strain.
Can I obtain a log2fc value and an adjusted p value for the effect of growth in sugarcane bagasse in Mutant strain in relation to the Parental strain discounting the effect of glycerol?
I searched on the internet and found maybe I could use contrast or interaction in DESeq2, although I am not sure which one to use or how to use it in my case. Can you please help me?
Thank you very much.
Harumi
Not OP but I have run in to this issue too. What would be the appropriate way to calculate a 'fold-change difference' on these Log2fc values? Would it be
(sugarcane+glycerol - glycerol) / | glycerol |
?I would take only the difference. One could separately calculate a ratio, which might be more sensitive. However unless you (or OP) have a clear objective for doing this, I'm not sure there's much to be learned vs the 'traditional' z-scaled heatmap/pairwise comparison or volcano plot.
If you want to compare glycerol to sugarcane + glycerol, just compare them to each other.