Structural analysis of the lipopolysaccharide O-antigen from <i>Fusobacterium nucleatum</i> strain CC 7/3 JVN3 C1 and development of a mouse monoclonal antibody specific to the O-antigen
Bibliographic record
Abstract
Fusobacterium nucleatum is becoming increasingly recognised as an emerging pathogen, gaining attention as a potential factor for exacerbating colorectal cancer and is strongly linked with pregnancy complications including pre-term and still births. Little is known about the virulence factors of this organism; thus, we have initiated studies to examine the bacterium’s surface glycochemistry. In an effort to characterise the surface carbohydrates of F. nucleatum, the aims of this study were to investigate the structure of the lipopolysaccharide (LPS) O-antigen of the cancer-associated isolate F. nucleatum strain CC 7/3 JVN3 C1 (hereafter C1) and to develop monoclonal antibodies (mAbs) to the LPS O-antigen that may be beneficial to the growing field of F. nucleatum research. In this study, we combined several technologies, including nuclear magnetic resonance (NMR) spectroscopy, to elucidate the structure of the LPS O-antigen repeat unit as -[-4-β-Gal-3-α-FucNAc4N-4-α-NeuNAc-]-. We have previously identified this structure as the LPS O-antigen repeat unit from strain 10953. In this present study, we developed a mAb to the C1 LPS O-antigen and confirmed the mAbs cross-reactivity to the 10953 strain, thus confirming the structural identity.
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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 | 0.000 |
| 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 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".