Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows.

ABSTRACT: A major goal of proteomics research is the accurate and sensitive identification and quantification of a broad range of proteins within a sample. Data-independent acquisition (DIA) approaches that acquire MS/MS spectra independently of precursor information have been developed to overcome the reproducibility challenges of data-dependent acquisition and the limited breadth of targeted proteomics strategies. Typical DIA implementations use wide MS/MS isolation windows to acquire comprehensive fragment ion data. However, wide isolation windows produce highly chimeric spectra, limiting the achievable sensitivity and accuracy of quantification and identification. Here, we present a DIA strategy in which spectra are collected with overlapping (rather than adjacent or random) windows and then com

SUBMITTER: Amodei D 

PROVIDER: S-EPMC6445824 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature