Insights into O-Linked N-Acetylglucosamine ([0-9]O-GlcNAc) Processing and Dynamics through Kinetic Analysis of O-GlcNAc Transferase and O-GlcNAcase Activity on Protein Substrates
Bibliographic record
Abstract
Cellular O-linked N-acetylglucosamine (O-GlcNAc) levels are modulated by two enzymes: uridine diphosphate-N-acetyl-D-glucosamine:polypeptidyltransferase (OGT) and O-GlcNAcase (OGA). To quantitatively address the activity of these enzymes on protein substrates, we generated five structurally diverse proteins in both unmodified and O-GlcNAc-modified states. We found a remarkably invariant upper limit for k(cat)/K(m) values for human OGA (hOGA)-catalyzed processing of these modified proteins, which suggests that hOGA processing is driven by the GlcNAc moiety and is independent of the protein. Human OGT (hOGT) activity ranged more widely, by up to 15-fold, suggesting that hOGT is the senior partner in fine tuning protein O-GlcNAc levels. This was supported by the observation that K(m,app) values for UDP-GlcNAc varied considerably (from 1 μM to over 20 μM), depending on the protein substrate, suggesting that some OGT substrates will be nutrient-responsive, whereas others are constitutively modified. The ratios of k(cat)/K(m) values obtained from hOGT and hOGA kinetic studies enable a prediction of the dynamic equilibrium position of O-GlcNAc levels that can be recapitulated in vitro and suggest the relative O-GlcNAc stoichiometries of target proteins in the absence of other factors. We show that changes in the specific activities of hOGT and hOGA measured in vitro on calcium/calmodulin-dependent kinase IV (CaMKIV) and its pseudophosphorylated form can account for previously reported changes in CaMKIV O-GlcNAc levels observed in cells. These studies provide kinetic evidence for the interplay between O-GlcNAc and phosphorylation on proteins and indicate that these effects can be mediated by changes in hOGT and hOGA kinetic activity.
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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".