Comparison of two glycoengineering strategies to control the fucosylation of a monoclonal antibody
Bibliographic record
Abstract
Core fucosylation of an Fc N-linked glycan affects antibody effector functions, as the absence of fucose increases the antibody dependent cell cytotoxicity (ADCC) response with increased binding to the Fcγ receptors. The work presented here compares two different approaches to incrementally reduce core fucosylation of a camelid heavy chain antibody, EG2-hFc expressed in CHO cells which targets the EGFR receptor. The first method uses a fucosyltransferase (FUT) inhibitor, 2- fluoro peracetylated fucose (2FF), which was added to cell cultures expressing the EG2-hFc antibody in increasing concentrations up to 50μM. At this concentration there was no observed effect on cell growth. Glycan analysis was performed on antibodies collected from culture samples using HILIC-HPLC. The inhibitor reduced total fucosylation from 80% to 17.5% at 20μM 2FF. The second method involved transfecting the EG2-hFc producing cells with a prokaryotic GDP- 6-deoxy-D-lyxo-4-hexulose reductase (RMD) gene in order to deflect the fucose de novo pathway into producing rhamnose which is not incorporated into a glycan. Stable clones from transfected pools were isolated following flow cytometry using the green fluorescent protein (GFP) marker which was co-expressed with the RMD gene. High expressing RMD clones reduced the fucosylation of the antibody glycan to as low as 16%. The addition of 2FF to cultures of these RMD clones reduced the fucosylation level even further to 3% of the antibody glycan. An incremental increase in fucosylation was obtained by step-wise addition of fucose (up to 1 mM) to the RMD cells, in which the fucosylation level increased to a maximum of 87%. We also used ESI-MS to analyze the fucosylation pattern of EG2-hFc with addition of increasing concentrations of 2FF. This showed that 2FF inhibits the addition of fucose in a concentration- dependent and specific manner with the inhibition of fucose occurring one fucose at a time. Control cultures showed the presence of a predominant peak indicating two fucose moieties per antibody. As the 2FF inhibitor concentration was increased peaks corresponding to one fucose per antibody and non-fucosylated antibody predominated with a gradual decrease of the 2 fucose peak to insignificance at 15 μM 2FF.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".