An in vitro approach for simulating divergent Golgi O-glycosylation of tumor-associated MUC1 from normal MUC1

Peptide O-glycosylation relies on the coordinated action of glycosyltransferases across the endoplasmic reticulum (ER) and Golgi apparatus. However, the molecular mechanisms driving aberrant glycosylation in cancer remain poorly understood. Here we show an in vitro one-pot synthetic biology approach that simulates divergent glycosylation pathways to map the synthesis of mucin 1 (MUC1) tumor-associated antigens. By modeling the cancer-associated relocation of initiation enzymes (GALNTs) to the ER, we demonstrate that this spatial shift leads to complete GalNAc (Tn antigen) occupancy. This occurs because ER localization extends reaction times and prevents inhibition by downstream Golgi enzymes. Furthermore, combined kinetic and computer reaction dynamic simulations reveal that ST6GALNAC1 exclusively drives α-2-6 sialylation, with a strict preference for the T13 site on fully glycosylated MUC1. This suggests that cancer-associated sTn upregulation is directly linked to T13 occupancy. Ultimately, this systems modeling approach decodes the enzyme localization and substrate specificities fundamental to tumourigenesis.

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Publication Details

Journal
Nature Communications
Published
2026-04-22
DOI
https://doi.org/10.1038/s41467-026-72151-y
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.00

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article

An in vitro approach for simulating divergent Golgi O-glycosylation of tumor-associated MUC1 from normal MUC1

Kevin J. Naidoo, Tharindu Senapathi, Abdullateef Nashed, Kyllen Dilsook
Nature Communications
Glycosylation and Glycoproteins Research
article

An in vitro approach for simulating divergent Golgi O-glycosylation of tumor-associated MUC1 from normal MUC1

Kevin J. Naidoo, Tharindu Senapathi, Abdullateef Nashed, Kyllen Dilsook
article en

Abstract

Peptide O-glycosylation relies on the coordinated action of glycosyltransferases across the endoplasmic reticulum (ER) and Golgi apparatus. However, the molecular mechanisms driving aberrant glycosylation in cancer remain poorly understood. Here we show an in vitro one-pot synthetic biology approach that simulates divergent glycosylation pathways to map the synthesis of mucin 1 (MUC1) tumor-associated antigens. By modeling the cancer-associated relocation of initiation enzymes (GALNTs) to the ER, we demonstrate that this spatial shift leads to complete GalNAc (Tn antigen) occupancy. This occurs because ER localization extends reaction times and prevents inhibition by downstream Golgi enzymes. Furthermore, combined kinetic and computer reaction dynamic simulations reveal that ST6GALNAC1 exclusively drives α-2-6 sialylation, with a strict preference for the T13 site on fully glycosylated MUC1. This suggests that cancer-associated sTn upregulation is directly linked to T13 occupancy. Ultimately, this systems modeling approach decodes the enzyme localization and substrate specificities fundamental to tumourigenesis.

Nature CommunicationsVol. 17(1)
University of Cape Town (ZA), University of Sri Jayewardenepura (LK)
Dane O. Kildsig Center for Pharmaceutical Processing Research, National Research Foundation, South African Medical Research Council, University of Cape Town, Center for High Performance Computing, Medical Research Council
Openalex Percentile: Top 18%
Glycosylation and Glycoproteins Research
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