Molecular Mechanisms Controlling the Differentiation of Germ Cells in mammals: Divergent expression patterns of SLBP in male and female meiotic cells and their developmental consequences
Bibliographic record
Abstract
The stem-loop binding protein (SLBP) binds to replication-dependent histone mRNA and participates in its processing, stabilization and translation. It has previously been shown that SLBP expression in somatic cells is regulated by the cell cycle. Our work demonstrates that male and female germ line cell expression patterns differ dramatically both from the somatic cell-cycle regulated pattern, and from each other. Using immunofluorescence on a post-natal series of male and female gonads, SLBP was shown to translocate from the cytoplasm of non-growing oocytes to the nucleus upon initiation of growth, followed by re-entry into the cytoplasm upon entry into metaphase II. In contrast, developing male germ cells initially express SLBP at high levels both in the nucleus and the cytoplasm, followed by cytoplasmic segregation and finally complete absence of expression by maturation. We believe that these divergent expression patterns in male and female germ cells reflect the different requirements for SLBP in cell differentiation and early embryogenesis, respectively.
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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 | 0.001 |
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".