Active Uptake and Trafficking of Nucleoside Triphosphates <i>In Vivo</i>
Bibliographic record
Abstract
Modified nucleoside triphosphates (NTPs) are powerful probes and medicines, but their anionic character impedes membrane permeability. As such, invasive delivery techniques, transport carriers, or prodrug strategies are required for their in vivo use. Here, we present a fluorescent 2′-deoxyribonucleoside triphosphate “TAMRA-dATP” that exhibits surprisingly high bioavailability in vivo . TAMRA-dATP spontaneously forms nanoparticles in Mg +2 -containing buffers that are taken into the vesicles of living cells and animals by energy-dependent processes. In cell cultures, photochemical activation with yellow laser light (561 nm) facilitated endosomal escape of TAMRA-dATP, resulting in its metabolic incorporation into DNA in vitro . In contrast, in vivo studies revealed that TAMRA-dATP is extensively trafficked by active pathways into cellular DNA of zebrafish ( Danio rerio ) and Caenorhabditis elegans where DNA labeling was observed in live animals, even without photochemical release. Metabolic labeling of DNA in whole, living animals can therefore be achieved by simply soaking animals in a buffer containing TAMRA-dATP or a structurally related compound, Cy3-dATP.
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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".