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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".