Hydrophilic Sulfonate Covalent Organic Frameworks for Serum Glycopeptide Profiling

Aberrant protein glycosylation is closely associated with a number of biological processes and diseases. However, characterizing the types of post-translational modifications (PTMs) from the complex biological samples is challenging for comprehensive glycoproteomic analysis. The development of high-performance enrichment materials and strategies during the sample pretreatment process is a prerequisite to glycoproteome research. Here in this work, a sulfonate-rich covalent organic framework (COF) called TpPa-(SO<sub>3</sub>H)<sub>2</sub> (referred to as SCOF-2) was synthesized using the Schiff base reaction for the identification of glycopeptides. Benefiting from high hydrophilicity and abundant sulfonate affinity, a total of 28 and 16 glycopeptides could be efficiently detected from the standard glycoproteins of horseradish peroxidase (HRP) and immunoglobulin G (IgG) tryptic digest, respectively. Moreover, the as-prepared sulfonate-rich SCOF-2 has an ultralow detection limit (0.01 fmol μL<sup>-1</sup>), excellent enrichment selectivity (molar ratio HRP:BSA = 1:5000), satisfactory recovery rate (89.1%), high adsorption capacity (150 mg g<sup>-1</sup>) and good reusability in the individual enrichment. Meanwhile, by using the SCOF-2 adsorbent, 196 and 194 endogenous glycopeptides in the serum of ovarian cancer patients and healthy people among triplicates were successfully enriched and identified, respectively, using combined nanoLC-MS/MS technology. It demonstrated its great application potential in glycoproteomics research and provided a novel insight for the design of affinity materials.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-02-24
DOI
https://doi.org/10.3390/ijms26051957
Citations
5
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
2.59

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article

Hydrophilic Sulfonate Covalent Organic Frameworks for Serum Glycopeptide Profiling

Zhi‐Yuan Gu, Shi‐Shu Yang, Shijie Jiang, Yuheng Jiang et al.
5 citations
International Journal of Molecular Sciences
Covalent Organic Framework Applications
2.59
article

Hydrophilic Sulfonate Covalent Organic Frameworks for Serum Glycopeptide Profiling

Zhi‐Yuan Gu, Shi‐Shu Yang, Shijie Jiang, Yuheng Jiang, Si Liu, Hua Zhang, Lihong Liu
article en
5 citations

Abstract

Aberrant protein glycosylation is closely associated with a number of biological processes and diseases. However, characterizing the types of post-translational modifications (PTMs) from the complex biological samples is challenging for comprehensive glycoproteomic analysis. The development of high-performance enrichment materials and strategies during the sample pretreatment process is a prerequisite to glycoproteome research. Here in this work, a sulfonate-rich covalent organic framework (COF) called TpPa-(SO<sub>3</sub>H)<sub>2</sub> (referred to as SCOF-2) was synthesized using the Schiff base reaction for the identification of glycopeptides. Benefiting from high hydrophilicity and abundant sulfonate affinity, a total of 28 and 16 glycopeptides could be efficiently detected from the standard glycoproteins of horseradish peroxidase (HRP) and immunoglobulin G (IgG) tryptic digest, respectively. Moreover, the as-prepared sulfonate-rich SCOF-2 has an ultralow detection limit (0.01 fmol μL<sup>-1</sup>), excellent enrichment selectivity (molar ratio HRP:BSA = 1:5000), satisfactory recovery rate (89.1%), high adsorption capacity (150 mg g<sup>-1</sup>) and good reusability in the individual enrichment. Meanwhile, by using the SCOF-2 adsorbent, 196 and 194 endogenous glycopeptides in the serum of ovarian cancer patients and healthy people among triplicates were successfully enriched and identified, respectively, using combined nanoLC-MS/MS technology. It demonstrated its great application potential in glycoproteomics research and provided a novel insight for the design of affinity materials.

International Journal of Molecular SciencesVol. 26(5)
Fujian Medical University (CN), Nanjing Normal University (CN), Henan Normal University (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 11%
Covalent Organic Framework Applications
2.59
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