Functional post-translational proteomics approach to study the role of N-glycans in the development of <i>Caenorhabditis elegans</i>
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Bibliographic record
Abstract
Glycosylation is one of the most common post-translational protein modifications. Carbohydrate-mediated interactions between cells and their environment are important in differentiation, embryogenesis, inflammation, cancer and metastasis and other processes. Humans and mice with mutations that prevent normal N-glycosylation show multi-systemic defects in embryogenesis, thereby proving that these molecules are essential for normal development; however, a large number of proteins undergo defective glycosylation in these human and mouse mutants, and it is therefore difficult to determine the precise molecular roles of specific N-glycans on individual proteins. We describe here a 'functional post-translational proteomics' approach that is designed to determine the role of N-glycans on individual glycoproteins in the development of Caenorhabditis elegans.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it