Direct Identification of O-Glycopeptides by Low-Temperature Assisted Nanopore Technique

Area of Science:

• Biochemistry
• Nanotechnology
• Oncology

Background:

• O-glycopeptides are highly expressed in human cancers, indicating their role in cancer progression and metastasis.
• These molecules are promising biomarkers for early cancer diagnostics due to their altered expression.
• The complexity and heterogeneity of glycans present significant challenges for analyzing multiple glycopeptides simultaneously and precisely.

Purpose of the Study:

• To develop a novel technique for the simultaneous discrimination and analysis of multiple O-glycopeptides.
• To enable direct identification and relative quantification of O-glycopeptides from complex biological mixtures.
• To explore the potential of this method for label-free analysis of glycopeptide biomarkers in cancer diagnostics.

Main Methods:

• Development of a low-temperature nanopore technique.
• Simultaneous discrimination of four truncated O-glycopeptides with varied glycoforms.
• Direct identification and relative quantification of O-glycopeptides in a mixture.

Main Results:

• The developed nanopore technique achieved simultaneous discrimination of four truncated O-glycopeptides.
• The method enabled direct identification and relative quantification of O-glycopeptides.
• A discrimination accuracy of 92.9% was achieved for the analyzed O-glycopeptides.

Conclusions:

• The low-temperature nanopore technique offers a promising approach for the simultaneous analysis of multiple O-glycopeptides.
• This method facilitates label-free analysis of glycopeptide biomarkers.
• The strategy holds potential for advancing early cancer diagnostics through precise glycopeptide analysis.