A New Phosphorylated Protein Analysis Strategy based on Trypsin Encapsulated in Metal–Organic Frameworks with High Efficiency and a Simplified Workflow

Phosphoproteomics research is crucial for clinical diagnosis. However, due to the self-hydrolysis of natural proteases and the complex typical pretreatment protocol, the traditional bottom-up method is not enough to achieve rapid analysis of phosphorylated proteins. In this work, we encapsulate trypsin (Try) in the ZIF-L(Co) to develop a new strategy that simplifies the phosphorylated protein analysis process and achieves rapid analysis. Try is encapsulated in the mesoporous ZIF-L(Co) to allow the proteins to be accessible to the enzymes. The hydrophobic ZIF-L(Co) can cause the unfolding of proteins and accelerates the digestion process. The Co(II) nodes enhance the affinity toward phosphorylated proteins and capture phosphopeptides selectively. Compared to the traditional denaturation, digestion, and enrichment method, which costs 20 h at least, our strategy simplifies the pretreatment workflow and yields phosphopeptides in just 3.4 h. This strategy is further applied in the analysis of phosphorylated proteins in biosamples such as nonfat milk, egg yolk, and human serum. The results show equivalent performance with the traditional method and exhibit great potential in bioanalysis. This new phosphorylated protein analysis strategy provides a powerful tool for proteomics analysis and promotes research in the field of biomedicine.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-03-27
DOI
https://doi.org/10.1021/acs.analchem.5c00324
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New Phosphorylated Protein Analysis Strategy based on Trypsin Encapsulated in Metal–Organic Frameworks with High Efficiency and a Simplified Workflow

Yi Yang, Jiayi Song, Wenkang Zhang, Shanshan Lv et al.
1 citations
Analytical Chemistry
Advanced Proteomics Techniques and Applications
0.76
article

A New Phosphorylated Protein Analysis Strategy based on Trypsin Encapsulated in Metal–Organic Frameworks with High Efficiency and a Simplified Workflow

Yi Yang, Jiayi Song, Wenkang Zhang, Shanshan Lv, Han Wang, Yongfeng Song, Ping Su, Zhuo Mi, Xingyi Qi
article en
1 citations

Abstract

Phosphoproteomics research is crucial for clinical diagnosis. However, due to the self-hydrolysis of natural proteases and the complex typical pretreatment protocol, the traditional bottom-up method is not enough to achieve rapid analysis of phosphorylated proteins. In this work, we encapsulate trypsin (Try) in the ZIF-L(Co) to develop a new strategy that simplifies the phosphorylated protein analysis process and achieves rapid analysis. Try is encapsulated in the mesoporous ZIF-L(Co) to allow the proteins to be accessible to the enzymes. The hydrophobic ZIF-L(Co) can cause the unfolding of proteins and accelerates the digestion process. The Co(II) nodes enhance the affinity toward phosphorylated proteins and capture phosphopeptides selectively. Compared to the traditional denaturation, digestion, and enrichment method, which costs 20 h at least, our strategy simplifies the pretreatment workflow and yields phosphopeptides in just 3.4 h. This strategy is further applied in the analysis of phosphorylated proteins in biosamples such as nonfat milk, egg yolk, and human serum. The results show equivalent performance with the traditional method and exhibit great potential in bioanalysis. This new phosphorylated protein analysis strategy provides a powerful tool for proteomics analysis and promotes research in the field of biomedicine.

Analytical ChemistryVol. 97(13)
Beijing University of Chemical Technology (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 33%
Advanced Proteomics Techniques and Applications
0.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.