bioRxivBiochemistryPreprint
Next-Generation Multiplexed Targeted Proteomics Quantifies Post-Translational Modifications, Compound-Protein Interactions, and Disease Biomarkers with High Throughput
Steven R. ShukeniD, Geordon A. FrereiD, Charlotte R. Beard, Jesse D. CanterburyiD, Nathan R. ZunigaiD, Brandon M. GassawayiD, Shane L. DawsoniD, Kean Hean OoiiD, João A. PauloiD, Margaret Windy McNerneyiD, Steven P. GygiiD, Qing YuiD
Abstract
The GoDig platform enables sensitive, multiplexed targeted pathway proteomics without manual scheduling or synthetic standards. Here we present GoDig 2.0, which increases sample multiplexing to 35-fold, improves time efficiency and reduces scan delays for higher success rates, and allows flexible spectral and elution library generation from different mass spectrometry data types. GoDig 2.0 measures 2.4x more targets than GoDig 1.0, quantifying >99% of 800 peptides in a single run. We compiled a library of 23,989 human phosphorylation sites from a phosphoproteomic dataset and used it to profile kinase signaling differences across cell lines. In human brain tissue, we established a hyperphosphorylated tau assay including pTau127, revealing potential biomarkers for Alzheimers disease. We also quantified diglycyl-lysine peptides to assess polyubiquitin branching. Finally, we built a library of 20,946 reactive cysteines and profiled covalent compound-protein interactions spanning diverse pathways. GoDig 2.0 enables high-throughput analyses of site-specific protein modifications across many biological contexts.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 1
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