Distinctive gene profiles occur at key points during natural metamorphosis in the <i>Xenopus laevis</i> tadpole tail
Bibliographic record
Abstract
Thyroid hormones (THs) are essential for tadpole metamorphosis into a juvenile frog; however, a complex interplay between additional hormones and signaling events also contributes to this dramatic developmental phase. A major mechanism of TH action is the nuclear receptor-mediated regulation of gene transcription of responsive genes. By using the precocious metamorphic model, several genes have been identified as TH responsive in the regressing tail. Many of these genes also exhibit altered expression during natural metamorphosis. Although identification of these genes provides insight into the mechanism whereby TH acts, complex interplay between TH and other hormones and the developmental stage-dependency of tissue responses contribute to the timing and coordination of metamorphic events. We investigated the temporal gene expression profile in Xenopus laevis tadpole tails from premetamorphosis through metamorphic climax by using a combination of a novel frog cDNA array containing 420 genes and quantitative real-time PCR. Seventy-nine genes were identified whose steady-state mRNA expression levels were altered in the tadpole tail during natural metamorphosis, of which 34 have previously been identified to be TH responsive in frogs or mammals. Of these genes, 75 clustered into 13 groups that displayed distinct developmental expression profiles. The levels of 28 transcripts were altered during premetamorphosis, 31 during prometamorphosis, and 43 with the onset of tail regression. This work establishes an important baseline for determining the mechanisms whereby tissues undergo differing metamorphic fates.
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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".