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A Data-independent Acquisition-based Global Phosphoproteomics System Enables Deep Profiling

ABSTRACT: Phosphoproteomics can provide insights into cellular signaling dynamics. To achieve robust quantitative phosphoproteomics profiling from minute amounts of sample, we here develop a global phosphoproteomics strategy based on data-independent acquisition (DIA) mass spectrometry and high-quality hybrid spectral libraries derived from data-dependent acquisition (DDA) and DIA data. Benchmarking the method using 166 synthetic phosphopeptides shows high sensitivity (<0.1 ng), accurate site localization and reproducible quantification (~5% median coefficient of variation). As a proof-of-concept, we use lung cancer cell lines and patient-derived tissue to construct a hybrid phosphoproteome spectral library covering 159,524 phosphopeptides (88,107 phosphosites). Based on this library, our single-shot streamlined DIA workflow quantifies 36,350 phosphosites (19,755 class 1) in cell line samples within 2 hours. Application to drug-resistant cells and patient-derived lung cancer tissues delineates site-specific phosphorylation events associated with resistance and tumor progression, showing that our workflow enables the characterization of phosphorylation signaling with deep coverage, high sensitivity and low between-run missing values.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Yu-Ju Chen

PROVIDER: PXD019797 | JPOST Repository | Fri Mar 05 00:00:00 GMT 2021

REPOSITORIES: jPOST

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