Comprehensive Identification of Post-translational Modifications of Rat Bone Osteopontin by Mass Spectrometry
Bibliographic record
Abstract
Osteopontin (OPN) is a highly modified protein that is found in many tissues and has been associated with a variety of physiological and pathological processes. Bone OPN is a potent inhibitor of hydroxyapatite crystal formation and stimulates bone resorption by osteoclasts; these activities, as well as others, are dependent upon phosphorylation of the protein. We have used mass spectrometry (MS) to perform a comprehensive analysis of the post-translational modification of OPN purified from rat bone. Matrix-assisted laser desorption time-of-flight (MALDI-TOF) MS showed masses of 37.6 and 36.8 kDa before and after enzymatic dephosphorylation, respectively, corresponding to a content of approximately 10.4 phosphate groups. Using proteolytic digestion and tandem MS, we localized 29 sites of phosphorylation: S10, S11, S46, S47, T50, S60, S62, S65, S146, T154, S160, S164, S167, S193, S196, S203, S220, S223, S232, S241, S245, S257, S262, S267, S278, S290, S295, S296, and S297. In addition, Y150 was shown to be sulfated and T107, T110, T116, and T121 are O-glycosylated. No glycan was detected at the potential N-glycosylation site. Other modifications, including deamidation, oxidation, and carbamylation, are also present. A 36-amino acid sequence from residues 67-102 could not be analyzed in detail, even after sialidase treatment, presumably because of the presence of a large number of acidic residues. In comparison to the previously characterized cow milk isoform, rat bone OPN is sulfated and has an additional site of glycosylation, many different sites of phosphorylation, and a lower overall phosphate content.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| 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".