Alternative splicing and expression analysis of bovine DNA methyltransferase 1
Bibliographic record
Abstract
Methylation of specific CG residues in the mammalian genome results in tissue-specific patterns of gene expression, which are critical for cell differentiation. Embryos that fail to establish and maintain proper DNA methylation patterns show severe developmental abnormalities as is the case of DNA methyltransferase 1 (Dnmt1) -deficient embryos. Dnmt1 is the main maintenance methyltransferase in the mouse and its expression is regulated by a splicing mechanism that dictates the expression of stage-specific isoforms. Little is known about Dnmt1 expression in the cow and isoforms of Dnmt1 are yet unknown in this species. Here we demonstrate that the previously described bovine Dnmt1 transcript is ubiquitously expressed in embryos and fetal tissue. In addition, we report the identification of a splice variant of the bovine Dnmt1, which shows a ubiquitous expression pattern. This new transcript was detected using 5'RACE and genomic mapping and its expression pattern was shown to be consistent with a tissue-specific mode of regulation. Furthermore, our analysis shows that the expression of an oocyte-specific isoform of Dnmt1 is unlikely to occur in cattle. The newly reported isoform of Dnmt1 was demonstrated to be, similarly to Dnmt1a, polyadenylated and if translated possess the functional domains necessary for maintenance and de novo methyltransferase activity.
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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 | 0.001 |
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".