Capillary Electrophoresis Mass Spectrometry for the Characterization of <i>O</i>-Acetylated <i>N</i>-Glycans from Fish Serum
Bibliographic record
Abstract
O-acetylated N-glycans from fish serum of Atlantic salmon (Salmo salar) are characterized by capillary electrophoresis (CE) in conjunction with both laser-induced fluorescence (LIF) and mass spectrometry (MS) detection methods. Glycans derivatized with negatively charged fluorescent label 8-aminopyrene-1,2,6-trisulfonate (APTS) were separated to obtain a CE-LIF profile of the complex glycan mixture, and the profile concurs with that obtained by using electrospray mass spectrometry. The identity of the APTS-labeled glycans was confirmed by CE-MS. The same glycans can be identified also in their native state by CE-MS without derivatization. The structural variations of O-acetylated sialic acid isomers in fish serum glycans are investigated by CE-MS/MS. Selected ion monitoring provided useful structural information of the underivatized glycans from fragmentation spectra. New complex fish serum glycans that are not reported previously were observed and characterized. These methods may be useful not only for the characterization of acetylation of complex glycans but also to study other types of glycan modifications, as well as to allow determination of overall glycan composition in glycoproteins.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".