A multi-model statistical approach for proteomic spectral count quantitation.

ABSTRACT:

Unlabelled

The rapid development of mass spectrometry (MS) technologies has solidified shotgun proteomics as the most powerful analytical platform for large-scale proteome interrogation. The ability to map and determine differential expression profiles of the entire proteome is the ultimate goal of shotgun proteomics. Label-free quantitation has proven to be a valid approach for discovery shotgun proteomics, especially when sample is limited. Label-free spectral count quantitation is an approach analogous to RNA sequencing whereby count data is used to determine differential expression. Here we show that statistical approaches developed to evaluate differential expression in RNA sequencing experiments can be applied to detect differential protein expression in label-free discovery

SUBMITTER: Branson OE 

PROVIDER: S-EPMC4967010 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature