Jon Lundstrøm

This paper introduces ELCA, a method for ultra-sensitive detection of secreted sialoglycoproteins, showing rapid response to pharmacological perturbations and compatibility with serum-containing conditions.

This paper shows that loss of IFNAR1 in neurons and astrocytes disrupts brain energy metabolism and leads to Parkinsonian dementia-like features in mice.

The paper shows that extended O-glycans are present on intranuclear proteins and demonstrate their role in RNA processing through specific examples.

This study characterizes the structural and functional dynamics of milk oligosaccharides in Atlantic grey seals throughout lactation, revealing complexity comparable to human milk.

This paper introduces a compositional data analysis framework for glycomics to address statistical issues in comparative glycan data, reducing false positives and revealing new biological insights.

This paper introduces a computational framework for differential glycomics expression analysis, demonstrating improved robustness and reliability through specialized methods and an open-source tool.

GlycoDraw generates high-quality, SNFG-compliant glycan figures in Python, enabling automated annotation and integration into glycan analysis workflows.

The paper develops a pipeline to analyze milk oligosaccharide biosynthetic networks across mammals, identifying evolutionary patterns and biosynthetic constraints.

LectinOracle predicts lectin-glycan interactions using deep learning, showing agreement with literature and generalizing to new glycans and lectins.