Both male and female gamete generating cells produce processed pseudogenes in the human genome
Bibliographic record
Abstract
The human genome contains an unusually large number of processed pseudogenes. The fact that processed pseudogenes are roughly 33% more abundant in our X chromosome than in our autosomes suggests that this overabundance is the result of the fact that human oogenesis is much longer than that of non-mammalian species. Here, we analyze the origins of the processed pseudogenes found on the human Y chromosome to determine whether human spermatogenesis also contribute to this overabundance. Our results show that human processed pseudogenes not only retrotranspose to the Y chromosome, but are also produced by genes on the Y chromosome. Furthermore, the fact that X chromosomes are three times more abundant than Y chromosomes likely explains why the euchromatic density of processed pseudogenes is three times higher in the X chromosome than in the Y chromosome. The large number of processed pseudogenes found in our genome is therefore due to the low substrate specificity of the L1 reverse transcriptase responsible for the reverse transcription of germline mRNA molecules into processed pseudogenes, as well as the life-long production of both male and female gametes.
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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) | 0.002 | 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".