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Related Experiment Video

Updated: Jul 27, 2025

Metabolic Glycoengineering of Sialic Acid Using N-acyl-modified Mannosamines
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Predicting Sialic Acid Content of

Tana V Palomino1, David C Muddiman1

  • 1FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA.

Journal of the American Society for Mass Spectrometry
|June 8, 2023
PubMed
Summary
This summary is machine-generated.

A new rule predicts sialic acids on glycans using mass spectrometry. This method enhances the analysis of sialylated N-linked glycans in biological tissues.

Keywords:
IR-MALDESIN-linked glycanschlorinesialic acid

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Glycomics

Background:

  • Sialic acids are crucial in physiological and pathological processes.
  • Their labile nature complicates mass spectrometry analysis.
  • Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) can detect intact sialylated N-linked glycans without derivatization.

Purpose of the Study:

  • To develop a novel rule for predicting the number of sialic acids on glycans.
  • To improve the confident annotation and composition determination of glycans.
  • To enhance the capability of IR-MALDESI for studying sialylated glycans in tissues.

Main Methods:

  • Analysis of formalin-fixed paraffin-embedded human kidney tissue.
  • Utilizing infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) in negative-ion mode.
  • Applying a new rule based on experimental isotopic distribution: #sialic acids = charge state - # chlorine adducts (z - #Cl-).

Main Results:

  • A new rule was established to predict the number of sialic acids on glycans.
  • The rule leverages the relationship between charge state and chlorine adducts.
  • This method provides confident glycan annotations beyond accurate mass measurements.

Conclusions:

  • The developed rule significantly improves the analysis of sialylated N-linked glycans.
  • IR-MALDESI, combined with this rule, offers enhanced capabilities for glycan studies in biological samples.
  • This advancement facilitates a deeper understanding of the roles of sialic acids in health and disease.