Effects of Exposure to 17α-Ethynylestradiol during Sexual Differentiation on the Transcriptome of the African Clawed Frog (<i>Xenopus laevis</i>)
Bibliographic record
Abstract
Exposure to estrogens during the period of sexual differentiation is known to adversely affect the development of testes in African clawed frogs (Xenopus laevis), but little is known about molecular changes that coincide with the development of altered phenotypes. Therefore, the transcriptome-level effects of exposure to 17α-ethynylestradiol (EE2) during sexual differentiation of X. laevis were evaluated by use of Illumina sequencing coupled with RNA-Seq expression analysis. Overall, a number of processes were affected by 17α-ethynylestradiol, including steroid biosynthesis, thyroid hormone signaling and metabolism, testicular development, and spermatogenesis. Some of the altered pathways, such as thyroid hormone signaling and testicular development, could be linked with biological effects on metamorphosis and gonadal phenotypes, respectively, that were observed in frogs that were exposed to 17α-ethynylestradiol throughout metamorphosis and the early postmetamorphic period. Thus, early changes at the transcriptome-level were predictive of pathologies that did not manifest until later in development. To validate the quantitative capacity of RNA-Seq, a subset of transcripts identified to have altered abundances in individuals exposed to 17α-ethynylestradiol was also evaluated by use of quantitative polymerase chain reaction (qPCR). While small sample sizes (n = 3) limited the ability to draw conclusions pertaining to differences in qPCR-derived abundances of transcripts between control and exposed tadpoles, there was a significant relationship (r(2) = 0.78) between fold-changes for RNA-Seq and qPCR.
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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".