Thank you very much, your answer is exactly what we need. I apologize for my late reply, we were testing the interaction in edgeR as you kindly suggested.
Hello, I have bulk rna-seq data that consist of two conditions (control, treated) tested across three time points (day 0, 1 and 3). We already observed by simple pair-wise (intra-condition) EdgeR that a big number of genes exhibit a change in expression between each two adjacent time points (day 1 vs 0 , then day 3 vs 1). We want to find significant differences INTER-conditions i.e genes whose change is significantly different in Treated vs Control at day 1 vs 0 , then day 3 vs 1. How could I do this with EdgeR? I have run EdgeR before but I do not know how to test both influence of treatment and time in one single design formula, and make sure that adjacent time points be tested (and NOT 3 vs 0 for exemple). I have 3 biological replicates by time-point and condition. Thanks for any help!
1 answer
You could use a full-factorial design by combining the time variable and treatment variable like (simplified exampe):
sample treatment time factorial
sample1 case t0 case_t0
sample2 control t0 control_t0
sample3 case t1 case_t1
sample4 control t1 control_t1
sample5 case t3 case_t3
sample6 control t3 control_t3
and then design as ~factorial followed by making the desired contrasts. Contrasts could be something like:
(case_t1 - control_t1) - (case_t0 - control_t0)
That would test for genes where the difference between case and control is differential between time points. For example a modest change between case and control at t0 that is much greater in t1 would could come out as significant. This is called an interaction. See e.g. section 3.3 in the manual for more details and examples, https://www.bioconductor.org/packages/release/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf
Thank you again, I didn't know I had to use "comment" to reply. Just a very last question, in DESeq2 is this also possible ?? (not very clear for me in DESeq2 vignette :( )
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