Structural characterization of sialylated glycoforms of <i>H. influenzae</i> by electrospray mass spectrometry: fragmentation of protonated and sodiated <i>O</i> ‐deacylated lipopolysaccharides
Bibliographic record
Abstract
Sialylated lipopolysaccharide (LPS) glycoforms from Haemophilus influenzae were characterized by tandem mass spectrometry using a new generation hyphenated mass spectrometer which combines a triple quadrupole and a linear ion trap (Q-Trap). The fragmentation of both protonated and sodiated molecular ions from O-deacylated LPS (LPS-OH) obtained in MS(2) experiments in the positive mode was studied. The MS(2) spectra of protonated ions provided unambiguous evidence for the presence and sequence of sialylated lactosamine present in lacto-N-neotetraose oligosaccharide extensions but not for sialyl-lactose structures whilst fragmentation of sodiated adducts, [M+Na](+), afforded information diagnostic of mono- and disialylated lactose extensions. To study this we used a highly sialylated LPS from a H. influenzae strain capable of sialyl-lactose expression only. We then applied the method to the H. influenzae genome strain, Rd, in which glycoforms containing both sialyl-lactose and sialyl-lacto-N-neotetraose were detected from diagnostic B-ions at m/z 638.2 ([Neu5Ac(1) Hex(2)+Na](+)) and 657.2 ([Neu5Ac(1) Hex(1) HexNAc(1)+H](+)). Unique fragmentation patterns provided the locations and sequences of these oligosaccharide extensions. This is the first time both sialylated lactose and sialylated lacto-N-neotetraose units have been detected and characterized by tandem mass spectrometry in the same molecule. This methodology is of general applicability for determination of common sialylated oligosaccharide extension in bacterial LPS.
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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".