For gene-level differential expression analysis, one can use gene ontology or such databases to obtain functions of genes and then cluster genes by function which helps to make sense of the differentially expressed genes and link it to fitness assays or functional work.
I have results from RSEM. I have a bunch of isoforms that go up and down. I was wondering what sort of interesting things I could do with that information. Are there databases for isoforms? full transcripts? My question is basically what are the potential downstream workflow after differential transcript/isoform expression analyses?
Thanks.
I don't know of any real databases that make use of isoform level information, however I do like seeing genes that are not differentially expressed between conditions, against their child isoforms that are differentially expressed. It acts as a nice illustration that we're missing things when analysing at the gene level.
If you're interested in pre-mrna splicing, you can figure out what type of splicing events lead to the over- or under-expression of certain genes. Is there any evidence of aberrant splicing that leads of NMD? Or just simply summarize the isoforms at gene-level and do a functional cluster with GO or GSEA.
If you're in fact interested in splicing, instead of isoforms, I would personally focus more on the expressions of spliced junctions and/or exons.