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Updated: Jan 7, 2026

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
Published on: February 27, 2020
MoSAIC: An Integrated and Modular Workflow for Confident Analysis of Protein Post-Translational Modification
Yuanwei Xu1, Lijun Chen2, T Mamie Lih2
1Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
This study introduces MoSAIC, a novel multi-post-translational modification (PTM) workflow. MoSAIC enables simultaneous analysis of four PTMs, significantly improving PTM coverage and efficiency in proteomics research.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Investigating multiple protein post-translational modifications (PTMs) is crucial for understanding protein regulation.
- Simultaneous analysis of diverse PTMs is challenging due to limitations in throughput, sensitivity, and reproducibility, especially with limited sample amounts.
Purpose of the Study:
- To develop a robust and efficient workflow for simultaneous analysis of multiple PTMs.
- To address the limitations of existing proteomics workflows for multi-PTM analysis.
Main Methods:
- Developed MoSAIC, a multi-PTM workflow integrating co-enrichment, multiplexing, fractionation, hybrid data acquisition, and unified data analysis.
- Targeted phosphorylation, glycosylation, acetylation, and ubiquitination for simultaneous interrogation.
- Utilized fractionation and tandem mass tag (TMT) labeling for concurrent identification and quantification.
Main Results:
- MoSAIC doubles PTM coverage (4 vs. 2 PTMs) compared to the traditional CPTAC workflow within the same instrument time (24 MS runs).
- Achieved increased identifications of PTM-modified peptides.
- Enhanced throughput and data consistency through concurrent identification and quantification.
Conclusions:
- MoSAIC provides a cost-effective and efficient platform for comprehensive multi-PTM analysis.
- This workflow overcomes key limitations in multi-PTM proteomics, advancing biological and clinical research.
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