The Expression Dynamics of piRNAs Derived From Male Germline piRNA Clusters and Retrotransposons
Bibliographic record
Abstract
In mammals, germ cells produce a class of small regulatory RNAs called PIWI-interacting RNAs or piRNAs, which are 25-32 nucleotides in length. The profile of testicular piRNAs changes during development. The piRNAs detected in fetal testes at embryonic day 13.5 and later are called fetal piRNAs. The piRNAs detected in testes in a period where germ cells do not yet enter the pachytene stage of meiotic prophase I are called pre-pachytene piRNAs, whereas those in testes at later postnatal days are called pachytene piRNAs. Here, to elucidate the exact expression dynamics of these piRNAs during development, we compared piRNAs present in male germ cells at different stages, which were purified by fluorescence-activated cell sorting, and those in embryonic testes. The analysis identified three distinct groups of piRNA clusters: prospermatogonial, early, and late clusters. piRNA length was largely correlated with the repertoire of PIWI-like proteins in respective germ cells; however, the late piRNA clusters tended to generate longer (PIWIL1-type) piRNAs, whereas the early clusters tended to generate shorter (PIWIL2-type) piRNAs, suggesting a cluster- or sequence-dependent mechanism for loading onto PIWI-like proteins. Retrotransposon-derived piRNAs, particularly evolutionary young retrotransposons, were abundantly produced in prospermatogonia, however, their abundance declined as development proceeded. Thus, in later stages, retrotransposon-derived piRNAs were not enriched with those from evolutionary young elements. The results revealed that, depending on the piRNA clusters from which they are derived, longer PIWIL1-type piRNAs are produced earlier, and shorter PIWIL2-type piRNAs remain in a longer period, than previously thought.
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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".