Evaluation of Data-Independent Acquisition-Based Phosphoproteomics Analysis in Mammalian and Bacterial Systems
Year: 2026
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Recent advancements in data-independent acquisition (DIA) workflows have greatly increased the depth and throughput of mass spectrometry-based proteomics. However, many of these advancements remain undercharacterized for phosphoproteomics, particularly in bacteria that have fewer protein phosphorylation events. We evaluated the impact of instrument/gradient length (Orbitrap Astral, 15 min; Orbitrap Exploris, 90 min), analysis tools (DIA-NN 1.9.2, DIA-NN 2.3, FragPipe, Spectronaut), and library search strategies (spectral-library versus library-free) on phosphoproteomic coverage and quantification in a human cell line and bacterial lysate. The 15 min Astral analysis identified similar numbers of phosphopeptides compared to a 90 min Exploris acquisition method across all analysis tools, demonstrating a substantial advantage in throughput. Within the Astral workflow, Spectronaut provided the highest phosphoproteome coverage, whereas DIA-NN 1.9.2, DIA-NN 2.3, and FragPipe exhibited less quantitative variation. We compared library-free and spectral-library search strategies using the Mycobacterium tuberculosis ( Mtb ) H37Rv strain. We observed greater phosphopeptide identifications yet different phosphopeptide profiles via library-free searches in comparison to spectral-library searches. When comparing Mtb harvested at different growth phases, phosphosite fold-changes were consistent, whereas statistical significance varied between tools. This work can be informative for workflow selection in DIA phosphoproteomics studies, especially for biological samples with low phosphorylation frequencies.
Source: Journal of Proteome Research
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Funders: University of Washington, Seattle Children's Research Institute, Children’s Hospital of Wisconsin Research Institute, National Institutes of Health, Directorate for Biological Sciences, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, Pacific Northwest National Laboratory
OpenAlex ID: W7155072205
