Spectral Counting / Redundant Protein Identification

CPAS Forum (Inactive)
Spectral Counting / Redundant Protein Identification dennisorton  2012-08-02 13:25
Status: Closed
 
Hello,

I am new to LabKey, and just as new to label-free Quantitative Proteomics (i.e. Spectral Counting) and I am having a problem removing redundant protein identifications prior to statistical analysis. I searched the UniProt database using X! Tandem and obtained the results, and after opening them in the "Spectra Count" view, the first thing I see is a large number of proteins identified by the same peptide(s). I am aware this is normal, however I am having a hard time determining how to eliminate the redundancy in the results without reducing the sensitivity of my statistical analysis.

Any help on how to accomplish this would be greatly appreciated.

Thanks.
 
 
jeckels responded:  2012-08-17 11:23
Hello,

Deciding how to deal with peptide/protein mapping and its ambiguities is a tricky problem.

If you want to be doing spectra counting at the protein level, you can choose to do your comparison based on the protein assigned by either XTandem or by ProteinProphet, instead of rolling up the counts based on the individual peptide sequences. However, this will hide information about the relative frequency of the different peptide identifications themselves.

Alternatively, you could group the counts by both the peptide sequence and protein assignment, and then do your own analysis in an external tool (like R) based on your own criteria.

I realize this isn't a terribly specific answer, but I hope it's still useful.

Thanks,
Josh