Variants of the β1,3-Galactosyltransferase CgtB from the Bacterium Campylobacter Jejuni have Distinct Acceptor Specificities
Bibliographic record
Abstract
The gene clusters encoding the lipooligosaccharide biosynthesis glycosyltransferases from Campylobacter jejuni have previously been divided in eight classes based on their genetic organization. Here, three variants of the beta1,3-galactosyltransferase CgtB from two classes were purified as fusions with the maltose-binding protein (MalE) from Escherichia coli and their acceptor preference was determined. The acceptor preference of each CgtB variant was directly related to the presence or absence of sialic acid in the acceptor, which correlated with the core oligosaccharide structure in vivo. The three variants were evaluated for their ability to use a derivitized monosaccharide, a GM2 ganglioside mimic, a GA2 ganglioside mimic as well as a peptide containing alpha-linked GalNAc. This characterization shows the flexibility of these galactosyltransferases for diverse acceptors. The CgtB variants were engineered via carboxy-terminal deletions and inversion of the gene fusion order. The combination of a 20 to 30 aa deletion in CgtB followed by MalE at its carboxy terminus significantly improved the glycosyltransferase activity (up to a 51.8-fold increase of activity compared to the full length enzyme) in all cases regardless of the acceptor tested. The improved enzyme CgtB(OH4384)DeltaC-MalE was used to galactosylate a glyco-peptide acceptor based on the interferon alpha2b protein O-linked glycosylation site as confirmed by the CE-MS analysis of the reaction products. This improved enzyme was also used successfully to galactosylate the human therapeutic protein IFNalpha2b[GalNAcalpha]. This constitutes the first report of the in vitro synthesis of the O-linked T-antigen glycan on a human protein by a bacterial glycosyltransferase and illustrates the potential of bacterial glycosyltransferases as tools for in vitro glycosylation of human proteins of therapeutic value.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".