The occurrence of cytokinins and their biosynthesis pathways in epithelioma papulosum cyprini cells
Bibliographic record
Abstract
Cytokinins (CKs) are small signaling molecules present in all kingdoms of life; however, their biological relevance outside of plants is poorly characterized. CK detection across kingdoms has been shown to be inconsistent and is often organism or cell line dependent. To ensure optimal detection in epithelioma papulosum cyprini (EPC), a cold-blooded vertebrate cell line, a range of biomasses were evaluated. CKs were extracted by solid-phase extraction and then detected using high-performance liquid chromatography and tandem mass spectrometry. The objectives were to establish endogenous CK profiles and characterize their biosynthesis in EPC cells. Among the 14 CKs that were scanned for, only 4 forms were detected overall within the samples analyzed, including, N6-(Δ2-isopentenyl) adenine-9-riboside (iPR), N6-(Δ2-isopentenyl) adenine-9-riboside-5′ (mono/di/tri)phosphate (iPNT), and cis-zeatin-9-riboside-5′ (mono/di/tri)phosphate ( cZNT) and 2‐methylthio‐zeatin (2MeSZ). The total CK concentrations ranged from 0.03 pmol/g to 681.025 pmol/gfwt. The results from this study provided evidence that EPC cells can produce and process CKs.
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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".