For your specific proteomic
workflow, you probably want something more like this:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258137/ than standard
GSEA. The links in that paper no longer work, but the lab's website has
relocated to here:
http://fields.scripps.edu/yates/wp/?page_id=143, I'm
still getting a 503 error on the specific link to the PSEA-quant page
from their site, so if you want to use that tool you might have to reach
out to the lab directly, it does, however, appear to be designed with
support for SILAC analysis in mind. One of our collaborators developed
an approach called PTM-SEA for phosphoproteomic studies (available from
https://github.com/broadinstitute/ssGSEA2.0) but I don't know if it's
specifically appropriate for SILAC data.
As to how to identify a
beta-arrestin dependent signature, we have a couple sets based on the
pathway in MSigDB, but I'm not sure that's what you want here. If you're
aware of any transcriptomic studies that target beta-arrestin in
relevant models I'd be happy to put together signatures for you that
could be included in a future MSigDB release.
Anthony S. Castanza, PhD