Back

Computationally inspired glycoengineering to maximise mAb β4-galactosylation

Gomez Aquino, I.; Ghahremanzamaneh, M.; Tsopanoglou, A.; Blanco, A.; Carillo, S.; Bones, J.; Jimenez del Val, I.

2026-05-10 bioengineering
10.64898/2026.05.06.723342 bioRxiv
Show abstract

{beta}4-galactosylation is a critical quality attribute of therapeutic monoclonal antibodies (mAbs), enhancing complement-dependent cytotoxicity, antibody-dependent cytotoxicity, and antibody-dependent cellular phagocytosis. Despite its therapeutic importance, galactosylation remains the most variable glycosylation motif due to its sensitivity to cell culture conditions. Here, we describe a dual genetic engineering strategy applied to two mAb-producing CHO cell lines, DP12 and VRC01, to simultaneously overcome the cellular machinery and metabolic bottlenecks that limit {beta}4-galactosylation. The first engineering event knocks out COSMC, the chaperone required for core 1 {beta}-1,3-galactosyltransferase 1 activity, to redirect UDP-Gal consumption from O-linked {beta}3-galactosylation towards mAb Fc N-linked {beta}4-galactosylation. The second event overexpresses {beta}-1,4-galactosyltransferase 1 ({beta}4GalT1) to augment cellular galactosylation machinery. Each modification was characterised individually (COSMC- and GalT+) and in combination (C-/GT+) across both cell lines in batch and fed batch cultures. The combined C-/GT+ strategy consistently achieved greater than 90% mAb Fc {beta}4-galactosylation, irrespective of host cell line or culture mode. Metabolic characterisation confirmed that both engineering events alleviate their respective bottlenecks: COSMC knockout redirects UDP-Gal flux and {beta}4GalT1 overexpression increases N-galactosylation capacity. The C-/GT+ strategy also reduced production of Man5 glycans, which accelerate serum clearance and pose immunogenicity risks. Metabolic profiling suggests that the COSMC knockout attenuates UTP consumption and contributes to reduced Man5 production. C-/GT+ glycoengineering had no negative impact on mAb titre. Our results establish the C-/GT+ dual glycoengineering strategy as a robust approach for consistently achieving high mAb galactosylation across diverse cell culture conditions, with the additional benefit of reduced Man5 glycans. HighlightsO_LIDual COSMC KO and {beta}4GalT1 overexpression achieves >90% mAb Fc galactosylation. C_LIO_LICOSMC KO redirects UDP-Gal from O-glycans to mAb Fc without impacting cell growth. C_LIO_LIDual glycoengineering reduces production of undesired Man5 glycans. C_LI

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 18%
10.1%
2
Cell Chemical Biology
81 papers in training set
Top 0.3%
7.2%
3
ACS Chemical Biology
150 papers in training set
Top 0.2%
6.8%
4
Metabolic Engineering
68 papers in training set
Top 0.1%
6.4%
5
Cell Reports Methods
141 papers in training set
Top 0.7%
4.0%
6
Antibody Therapeutics
16 papers in training set
Top 0.1%
3.9%
7
Advanced Science
249 papers in training set
Top 5%
3.7%
8
ACS Central Science
66 papers in training set
Top 0.4%
3.6%
9
Computational and Structural Biotechnology Journal
216 papers in training set
Top 2%
3.6%
10
mAbs
28 papers in training set
Top 0.1%
2.6%
50% of probability mass above
11
ACS Synthetic Biology
256 papers in training set
Top 1%
2.6%
12
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 1.0%
2.1%
13
Nature Chemical Biology
104 papers in training set
Top 2%
1.8%
14
Cell Systems
167 papers in training set
Top 7%
1.8%
15
Nature Biotechnology
147 papers in training set
Top 4%
1.8%
16
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
17
Bioconjugate Chemistry
17 papers in training set
Top 0.1%
1.7%
18
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.7%
19
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 33%
1.7%
20
Journal of the American Chemical Society
199 papers in training set
Top 3%
1.7%
21
Science Advances
1098 papers in training set
Top 18%
1.7%
22
Scientific Reports
3102 papers in training set
Top 62%
1.5%
23
Biotechnology and Bioengineering
49 papers in training set
Top 0.5%
1.3%
24
iScience
1063 papers in training set
Top 19%
1.3%
25
Cell Reports
1338 papers in training set
Top 29%
1.1%
26
Analytical Chemistry
205 papers in training set
Top 2%
0.9%
27
Chemical Science
71 papers in training set
Top 2%
0.9%
28
Bioengineering & Translational Medicine
21 papers in training set
Top 0.7%
0.9%
29
Cell Reports Medicine
140 papers in training set
Top 7%
0.9%
30
EMBO Molecular Medicine
85 papers in training set
Top 4%
0.7%