SOLID-STATE 17O NMR STUDIES OF GLUCOSE AND DEVELOPMENT OF 17O NMR AS A NEW PROBE OF GLUCOSE METABOLISM IN HELA CANCER CELLS
Bibliographic record
Abstract
This thesis reports on synthesis of site-specifically 17O-labeled glucose and related molecules and their solid-state 17O NMR characterization. The thesis also describes the development of 17O NMR as a new probe of glucose metabolism in HeLa cancer cells. In particular, a total of seven 17O-labeled glucose compounds were made via chemical synthesis: [1-17O]-D-glucose, [2-17O]-D-glucose, [3-17O]-D-glucose, [4-17O]-D-glucose, [5-17O]-D-glucose, [6-17O]-D-glucose, and [6-17O]-2-deoxy-D-glucose. In addition, [6-17O]-D-glucose-6-phosphate and [1,1,5-17O3]-glutamine were prepared through enzymatic reactions. Solid-state 17O NMR experiments were performed to determine 17O quadrupole coupling and chemical shift tensors in all seven glucose compounds. This is the first time that any carbohydrate molecule has been completely characterized by solid-state 17O NMR. This thesis demonstrates that [6-17O]-D-glucose and [1,1,5-17O3]-glutamine can be used as new tracers for monitoring glucose/glutamine metabolism in live cells. Effects of insulin, oxygen concentration, and glutamine concentration on the glycolysis process in live HeLa cancer cells were monitored by 17O NMR in real time. Finally, some preliminary results of 17O NMR studies of hexokinase-glucose complex are reported.
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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) | 0.000 | 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) | 0.001 | 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".