I have some differential phosphorylation data that I would like to do functional, pathway or similar types of enrichment. However, it seems most such tools focus specifically on gene expression or protein expression. I can measure fold changes in protein expression, but I would really like to include phosphorylation information.
Does anyone have any suggestions?
The problem with just dumping this into gene expression tools is that there is noting capturing changes in non-phosphoylated protein levels versus phosphorylated protein levels across conditions.
Eg:
That is, there is a difference between changes in protein expression and changes in phosphorylated protein levels. I realize that there isn't anything that can handle the combinatorial aspects of phosphorylation but I was hoping to capture at least some of the pathway state. Protein expression generates the nodes in a pathway, but phosphorylation applies control over the edges in those pathways.