<sup>13</sup>C MR reporter probe system using dynamic nuclear polarization
Bibliographic record
Abstract
Reporter-based cell detection and localization in vivo may become an important imaging tool with the emergence of cellular therapy. With the strong signal enhancement provided by dynamic nuclear polarization, an NMR-based reporter probe system utilizing specific enzyme expression and activity can potentially provide stable, high-resolution visualization of the cells of interest noninvasively. In this work, a proof-of-concept (13) C MR reporter system, using the aminoacylase-1 reporter gene (Acy-1) and prepolarized [1-(13) C]N-acetyl-L-methionine as the paired substrate, was developed. Using a 3-T MR scanner, the feasibility of detecting and imaging de-acetylation of the prepolarized (13) C-labeled substrate by the aminoacylase-1 enzyme was demonstrated with purified protein in solution by dynamic (13) C MRS and two-dimensional MRSI experiments. The potential to perform targeted MRI of cells using this system was also demonstrated by (13) C MR measurement of aminoacylase-1 activity in HEK 293 cells transfected with the Acy-1 gene. The de-acetylation of the substrate was not observed in control cells.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".