Next-generation multiplexed targeted proteomics quantifies post-translational modifications in disease and compound-protein interactions with high throughput
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 2.4× more targets than GoDig 1.0, quantifying >99% of 800 peptides in a single run. We compile a library of 23,989 human phosphorylation sites from a phosphoproteomic dataset and use it to profile kinase signaling differences across cell lines. In human brain tissue, we establish a hyperphosphorylated tau assay including pTau127, revealing potential biomarkers for Alzheimer’s disease. We also quantify diglycyl-lysine peptides to assess polyubiquitin branching. Finally, we build a library of 20,946 reactive cysteines and profile covalent compound-protein interactions spanning diverse pathways. GoDig 2.0 enables high-throughput analyses of site-specific protein modifications across many biological contexts. Targeted multiplexed proteomic technologies enable quantification of target proteins without prior assay development. Here, the authors describe improvements enabling quantification of site-specific modifications, including post-translational modifications and covalent compound-protein interactions.
Authors
- Nathan R. Zuniga (ORCID: https://orcid.org/0000-0001-8718-0638)
- Geordon A. Frere (ORCID: https://orcid.org/0000-0001-9769-5213)
- Jesse D. Canterbury (ORCID: https://orcid.org/0009-0000-5533-1710)
- Steven R. Shuken (ORCID: https://orcid.org/0000-0002-2782-2165)
- Christopher D. McGann (ORCID: https://orcid.org/0000-0001-9379-1910)
- João A. Paulo (ORCID: https://orcid.org/0000-0002-4291-413X)
- Qing Yu (ORCID: https://orcid.org/0000-0003-0468-5353)
- Steven P. Gygi (ORCID: https://orcid.org/0000-0001-7626-0034)
- Brandon M. Gassaway (ORCID: https://orcid.org/0000-0002-6102-2356)
- Kean Hean Ooi (ORCID: https://orcid.org/0000-0003-1967-2344)
- S L Dawson (ORCID: https://orcid.org/0000-0003-2212-0911)
- M. Windy McNerney
- Charlotte R. Beard
Institutions
- Brigham Young University (US)
- Harvard University (US)
- University of Massachusetts Chan Medical School (US)
- VA Palo Alto Health Care System (US)
- Mental Illness Research, Education and Clinical Centers (US)
- Thermo Fisher Scientific (United States) (US)
- Stanford University (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1038/s41467-026-76929-y
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging