A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration

TL;DR

MuPPE is a new platform that allows simultaneous analysis of multiple protein modifications from a single sample, improving research on aging and drug effects.

Contribution

MuPPE introduces a sequential multi-PTM analysis platform with enhanced reproducibility and reduced processing time.

Findings

MuPPE achieves superior reproducibility with a coefficient of variation of 12.3% compared to conventional methods.

The platform reduces processing time by 87.5%, completing analysis in 4 hours versus 32 hours.

MuPPE identifies more serum glycopeptides and brain phosphopeptides than other platforms.

Abstract

Serial multi-omic analysis of proteome, phosphoproteome, and glycoproteome is pivotal for elucidating drug mechanisms, discovering biomarkers, and identifying therapeutic targets. However, simultaneous multi-level post-translational modifications (PTMs) analysis via parallel processing is hampered by laborious, time-consuming procedures and inconsistent reproducibility. We present an integrated Multi-level PTMs-Proteomic Enrichment platform (MuPPE), enabling sequential glycoproteome, phosphoproteome, and proteome analysis from single biological samples. It combines protein aggregation capture with on-bead digestion and tandem enrichment, achieving superior reproducibility (CV 12.3% vs 17.6% conventional methods) while reducing processing time by 87.5% (4 hours vs 32 hours). MuPPE also enhances coverage, identifying more serum glycopeptides and brain phosphopeptides than other platforms. Applied to aging mouse cohorts, the platform uncovers tissue-specific PTMs remodeling and brain barrier dysfunction. For arsenic mechanisms of action, MuPPE reveals drug-induced PTMs crosstalk between glycosylation and phosphorylation-driven pathway regulation. MuPPE offers a transformative tool for advancing multi-omics insights across precision medicine and disease research.

Authors develop MuPPE, which enables integrated proteome, phosphoproteome, and glycoproteome profiling from a single sample, providing deeper biological insights into aging and drug-response mechanisms.

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