Refinements of LC-MS/MS Spectral Counting Statistics Improve Quantification of Low Abundance Proteins.

ABSTRACT: Mass spectrometry-based spectral count has been a common choice of label-free proteome quantification due to the simplicity for the sample preparation and data generation. The discriminatory nature of spectral count in the MS data-dependent acquisition, however, inherently introduces the spectral count variation for low-abundance proteins in multiplicative LC-MS/MS analysis, which hampers sensitive proteome quantification. As many low-abundance proteins play important roles in cellular processes, deducing low-abundance proteins in a quantitatively reliable manner greatly expands the depth of biological insights. Here, we implemented the Moment Adjusted Imputation error model in the spectral count refinement as a post PLGEM-STN for improving sensitivity for quantitation of low-abundance pro

SUBMITTER: Lee HY 

PROVIDER: S-EPMC6754416 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature