A molecular analysis of the population of mRNA in bovine spermatozoa
Bibliographic record
Abstract
Spermiogenesis represents the transition from haploid spermatids to spermatozoa. This process entails an extreme condensation of the nucleus and a loss of nearly all cytoplasmic content. The presence of messenger RNAs in the spermatozoa has previously been shown. Generally, these transcripts are considered to be remnants of spermiogenesis. However, it has recently been proposed that there may exist a function for these sperm-associated RNAs. To address the possibility of a functional role for these transcripts, we sought to investigate and characterize the RNA pool found in bovine spermatozoa. The main goals of this study were to examine RNA integrity and survey the mRNA found in spermatids and spermatozoa. Assessment of mRNAs integrity was performed by three approaches: microelectrophoresis, comparative smearing after global amplification, and PCR amplification of target sequences located either in the 5' or the 3' ends, while mRNAs survey was performed by microarray hybridizations. RNA integrity studies in the spermatozoa showed a majority of low molecular size fragments indicating a natural segmentation of the mRNA population. The mRNA survey indicated that the sperm transcriptome harbors a complex mixture of messengers implicated in a wide array of cell functions and representing a large subset of transcripts found in spermatids. Subsequently, such sperm RNA profiling could allow the molecular diagnosis of male gamete quality.
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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 | 0.001 | 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".