Determination and Characterization of Site-Specific N-Glycosylation Using MALDI-Qq-TOF Tandem Mass Spectrometry: Case Study with a Plant Protease
Bibliographic record
Abstract
MALDI tandem mass spectrometry analysis on a hybrid quadrupole-quadrupole time-of-flight (Qq-TOF) instrument was used in combination with two-dimensional gel electrophoresis, proteolytic digestion, and liquid chromatography for identification and structural characterization of glycosylation in a novel glycoprotein, pathogenesis-related subtilisin-like proteinase P69B from tomato. Glycopeptide fractions from microcolumn reversed-phase HPLC deposited on MALDI targets were identified from MS by their specific m/z spacing patterns (203, 162, 146 u) between glycoforms. In most cases, MS/MS spectra of [M + H]+ ions of glycopeptides featured peaks useful for determining sugar compositions, peptide sequences, and thus probable glycosylation sites. Furthermore, peptide-related product ions could readily be used in database search procedures to identify the glycoprotein. Four out of five predicted glycosylation sites were biologically relevant and occupied by five N-linked glycan side chains each. In addition, the fragmentation efficiency allowed detection of further modification of methionine-containing glycoforms with either oxidized or iodoacetamide alkylated methionine. The high resolution furnished by MALDI-Qq-TOF allowed rapid and sensitive structural characterization of site-specific N-glycosylation from a limited quantity of material and revealed heterogeneity at different levels, including different glycan side-chain modifications, and heterogeneity of oligosaccharide structures on the same glycosylation site.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".