Regulation of <i>ATF1</i> and <i>ATF2</i> transcripts by sequences in their 3′ untranslated region in cleavage‐stage cattle embryos
Bibliographic record
Abstract
The sequence of a 3' untranslated region (3'UTR) of mRNA governs the timing of its polyadenylation and translation in mammalian oocytes and early embryos. The objective of this study was to assess the influence of cis-elements in the 3'UTR of the developmentally important ATF1 and ATF2 transcripts on their timely translation during first cleavages in bovine embryos. Eight different reporter mRNAs (coding sequence of green fluorescent protein [GFP] fused to the 3'UTR of short or long isoforms of cattle ATF1 or -2, with or without polyadenylation) or a control GFP mRNA were microinjected separately into presumptive bovine zygotes at 18 hr post-insemination (hpi), followed by epifluorescence assessment for GFP translation between 24 and 80 hpi (expressed as percentage of GFP-positive embryos calculated from the total number of individuals). The presence of either polyadenine or 3'UTR sequence in deadenylated constructs is required for GFP translation (implying the need for polyadenylation), and all exogenous mRNAs that met either criteria were translated as soon as 24 hpi-except for long-deadenylated ATF2-UTR, whose translation began at 36 hpi. Overall, GFP was more visibly translated in competent (cleaving) embryos, particularly in long ATF1/2 constructs. The current data shows a timely GFP translation in bovine embryos depending on sequences in the 3'UTR of ATF1/2, and indicates a difference between short and long isoforms. In addition, cleaving embryos displayed increased translational capacity of the tested constructs. Functional confirmation of the identification cis-sequences in the 3'UTR of ATF1/2 will contribute to the understanding of maternal mRNA translation regulation during early cattle development.
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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".