Using the histone H2a transcript as an endogenous standard to study relative transcript abundance during bovine early development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The requirement for sample standardization is basic to any relative RNA abundance assessment. In 2002, we published on the RNA abundance profiling of several housekeeping targets during early bovine embryonic development. It was then concluded that histone H2a was the most stable transcript across the studied developmental period. Since that time, several teams have applied this information, yet neglected to use the published set of primers. Here, we show that these other primer sets do not target the same histone H2a variant. Within the present report, the RNA abundance profiles of their respective targets, for example, histone H2a.1, H2a.z, and H2a.o were measured in developmental series spanning the immature oocyte to the blastocyst stage embryo. In order to more clearly define the conditions that impact the RNA abundance level measurement of these candidates, the state of polyadenylation and the origin of the transcript either from de novo transcription or from maternal stocks were taken into consideration. The histone H2a.z transcript is principally regulated by de novo transcription following embryonic genome activation, whereas the levels of H2a.1 and H2a.o variants are largely of maternal origin, conferring a more stable profile throughout the studied developmental window. The histone H2a.z was found solely in a polyadenylated state whereas the H2a.1 and H2a.o were found to be more abundant in a nonadenylated form. The presence of serum in the in vitro embryo production system also had some impact on the histone H2a.1 RNA level at the blastocyst stage.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.000 | 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 it