Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration.

Area of Science:

• Biochemistry
• Systems Biology
• Human Lactation

Background:

• Human Milk Oligosaccharides (HMOs) are crucial bioactive carbohydrates for infant development.
• The precise mechanisms of HMO biosynthesis within the mammary gland are not fully understood.
• Existing knowledge gaps hinder targeted research and applications for improving infant health.

Purpose of the Study:

• To elucidate the molecular basis of Human Milk Oligosaccharide biosynthesis.
• To construct a comprehensive HMO biosynthetic network using integrated data.
• To identify novel candidate genes and enzymes responsible for HMO synthesis.

Main Methods:

• Integrated systems biology approach combining glycan and RNA expression data.
• Development of computational models for major HMO synthesis pathways (>95% of content).
• Network analysis to predict gene-enzyme relationships for HMO synthesis reactions.

Main Results:

• Successfully reconstructed a significant portion of the HMO biosynthetic network.
• Identified candidate genes involved in HMO elongation, branching, fucosylation, and sialylation.
• Validated model accuracy by recovering known gene-enzyme relationships and proposing novel candidates consistent with literature.

Conclusions:

• Established a foundational molecular understanding of HMO biosynthesis.
• Provided a predictive framework for identifying genes and enzymes in HMO synthesis.
• Paved the way for advancements in HMO research, applications, and infant health improvement.