Cloning, sequencing, and expression analysis of mouse glucosamine-6-phosphate deaminase (GNPDA/oscillin)
Bibliographic record
Abstract
It was reported that a hamster protein, called "oscillin," with a sequence related to that of an Escherichia coli GNPDA triggered Ca(2+) oscillations in mammalian oocytes when introduced into their cytoplasm upon fertilization. Recently, it was shown that GNPDA/oscillin is ubiquitously expressed in rat tissues and that a recombinant hamster GNPDA/oscillin protein does not exhibit oscillin activity when injected into oocytes. In the mouse, the nature and role of such a GNPDA/oscillin is not known, but another candidate protein, tr-kit, has been proposed as a sperm factor causing oocyte activation. In order to clarify this issue, we have characterized the mouse homolog of hamster and human GNPDA/oscillin, and examined its expression along with that of tr-kit, in parallel. We report here the molecular cloning and sequencing of mouse GNPDA/oscillin, which shows over 96% identity with the hamster and human homologs. Using specific primers, we performed an RT-PCR analysis to determine the tissue distribution of mouse GNPDA/oscillin mRNA. Unlike tr-kit mRNA which is expressed solely in mouse testis, GNPDA/oscillin mRNA is detected in unfertilized oocytes and in all tissues examined including testis, heart, thymus, liver, ovary, uterus, kidney, spleen, and lung. The protein itself is also detected in all tissues examined by Western blots. Indirect immunofluorescence studies, using an antibody raised against hamster GNPDA, demonstrate that GNPDA is lost with the acrosome reaction of mouse spermatozoa, is localized in the equatorial and neck regions of the human spermatozoa and the post-acrosomal region of the hamster spermatozoa. Our results thus indicate that mouse GNPDA/oscillin, the homolog of hamster oscillin, unlike tr-kit, does not exhibit some of the required characteristics expected from a putative sperm-derived oocyte-activating factor.
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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 | 0.001 |
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".