Oxonium-ion glycoform analysis

HexNAcQuest

Distinguish O-GlcNAc and O-GalNAc signals from diagnostic oxonium-ion intensities using the published logistic regression model.

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Five diagnostic oxonium-ion intensities leading to GlcNAc or GalNAc classification for HexNAcQuest

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How it works

Classify HexNAc spectra from five diagnostic ions

Upload a CSV containing oxonium-ion intensities at m/z 126, 138, 144, 168, and 186. HexNAcQuest normalizes each spectrum and classifies it as GlcNAc or GalNAc using the published logistic regression model.

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Your data stays on your device

Your selected CSV remains on your device throughout the analysis.

When classification is complete, you can download the results as a CSV.

References

Weiyu Li, Chunyan Hou, Yaoxiang Li, Ci Wu, and Junfeng Ma. HexNAcQuest: A Tool to Distinguish O-GlcNAc and O-GalNAc. Journal of the American Society for Mass Spectrometry. 2022;33(10):2008–2012. doi:10.1021/jasms.2c00172.

Chunyan Hou, Weiyu Li, Yaoxiang Li, and Junfeng Ma. Integrating HexNAcQuest with Glycoproteomics Data Analysis Software to Distinguish HexNAc Isomers on Peptides. Methods in Molecular Biology. 2024;2836:67–76. doi:10.1007/978-1-0716-4007-4_5.