An integrated approach to analyze EG2-hFc monoclonal antibody N-glycosylation by MALDI-MS
Bibliographic record
Abstract
The characterization of the N-glycan portion of antibodies has been the subject of several studies involving mass spectrometry. In this article, a workflow is presented that starts with the expression of a monoclonal antibody (EG2-hFc) in Chinese hamster ovary cells and continues with Protein A purification of the antibody. Then the protocol continues with gel electrophoresis. Bands containing the heavy chain are cut and isolated from the gel followed by tryptic digestion to obtain peptides and glycopeptides. The enrichment of glycopeptides by C18 chromatography is described followed by characterization using positive and negative modes MALDI-MS and MS/MS. An exoglycosidase, beta-galactosidase, is used to verify anomericity of linkages in the glycan portion of glycopeptides. In the last step, glycans are detached from glycopeptides using PNGase F labelled with phehylhydrazine and characterized by MALDI-MS/MS. This workflow is reported for the first time for this particular antibody and presents a valuable approach for the analysis of N-glycans on most antibodies and 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".