Peptide Correlation Analysis (PeCorA) Reveals Differential Proteoform Regulation.

ABSTRACT: Shotgun proteomics techniques infer the presence and quantity of proteins using peptide proxies produced by cleavage of the proteome with a protease. Most protein quantitation strategies assume that multiple peptides derived from a protein will behave quantitatively similar across treatment groups, but this assumption may be false due to (1) heterogeneous proteoforms and (2) technical artifacts. Here we describe a strategy called peptide correlation analysis (PeCorA) that detects quantitative disagreements between peptides mapped to the same protein. PeCorA fits linear models to assess whether a peptide's change across treatment groups differs from all other peptides assigned to the same protein. PeCorA revealed that ∼15% of proteins in a mouse microglia stress data set contain at least on

SUBMITTER: Dermit M 

PROVIDER: S-EPMC8592057 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature