PIWIL1 Is Expressed in the Canine Testis, Increases with Sexual Maturity, and Binds Small RNAs1
Bibliographic record
Abstract
Spermatogenesis is a highly regulated process leading to the development of functional spermatozoa through meiotic division and subsequent maturation. Recent studies have suggested that a novel class of Argonaute proteins, known as the PIWI clade, plays important roles in multiple stages of spermatogenesis. PIWI proteins bind specific small noncoding RNAs, called PIWI-interacting RNAs (piRNAs). These piRNAs guide the PIWI-piRNA complex to retrotransposon targets that become expressed during meiosis. Retrotransposons are subsequently silenced, either through PIWI "slicer" activity or through PIWI-directed methylation of the retrotransposon locus. Most mammalian studies have employed mouse models where sterility follows PIWI inactivation. The goal of this study was to characterize canine PIWIL1 to determine whether expression pattern and functional characteristics support a similar function in that species. Canine PIWIL1 cDNA is a 2.6-kb transcript that encodes an 861-amino acid protein showing high homology to other mammalian PIWIL1 proteins and containing features consistent with PIWI family members (PAZ, PIWI domains). Analysis of PIWIL1 protein and transcript levels revealed that PIWIL1 expression is limited to the testes and is associated with sexual maturity, with mature dogs showing higher levels of PIWIL1 expression. Immunohistochemistry demonstrated expression primarily in seminiferous tubules and confirmed higher levels of PIWIL1 in mature dogs. Functional characterization by RNA immunoprecipitation demonstrated that canine PIWIL1 binds short RNAs consistent in size with piRNAs (27-32 nucleotides). Together, these studies represent the first characterization of a PIWI protein in the dog and suggest that it is a functional piRNA-binding protein most highly expressed in the mature testes.
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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) | 0.003 | 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".