A peptide identification-free, genome sequence-independent shotgun proteomics workflow for strain-level bacterial differentiation.

ABSTRACT: Shotgun proteomics is an emerging tool for bacterial identification and differentiation. However, the identification of the mass spectra of peptides to genome-derived peptide sequences remains a key issue that limits the use of shotgun proteomics to bacteria with genome sequences available. In this proof-of-concept study, we report a novel bacterial fingerprinting method that enjoys the resolving power and accuracy of mass spectrometry without the burden of peptide identification (i.e. genome sequence-independent). This method uses a similarity-clustering algorithm to search for mass spectra that are derived from the same peptide and merge them into a unique consensus spectrum as the basis to generate proteomic fingerprints of bacterial isolates. In comparison to a traditional peptide iden

SUBMITTER: Shao W 

PROVIDER: S-EPMC4585814 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature