Improved Quantitative Plant Proteomics via the Combination of Targeted and Untargeted Data Acquisition.

ABSTRACT: Quantitative proteomics strategies - which are playing important roles in the expanding field of plant molecular systems biology - are traditionally designated as either hypothesis driven or non-hypothesis driven. Many of these strategies aim to select individual peptide ions for tandem mass spectrometry (MS/MS), and to do this mixed hypothesis driven and non-hypothesis driven approaches are theoretically simple to implement. In-depth investigations into the efficacies of such approaches have, however, yet to be described. In this study, using combined samples of unlabeled and metabolically ¹⁵N-labeled Arabidopsis thaliana proteins, we investigate the mixed use of targeted data acquisition (TDA) and data dependent acquisition (DDA) - referred to as TDA/DDA - to facilitate

SUBMITTER: Hart-Smith G 

PROVIDER: S-EPMC5623951 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature