Expression and transient nuclear translocation of proprotein convertase 1 (PC1) during mouse preimplantation embryonic development
Bibliographic record
Abstract
Preimplantation embryos express a number of hormones, neuropeptides, and membrane receptors known to derive from proteolytic activation of their precursors by the seven-member family of subtilisin-like, calcium-dependent serine proteinases known as proprotein convertases (PCs). The goal of this study was to determine the pattern of PC expression in mouse preimplantation embryos. Transcripts for all PCs, except PC2, were detected by reverse transcription-polymerase chain reaction (RT-PCR) in unfertilized and fertilized eggs. Furin, PACE4, PC1, and PC7 transcripts remained present at subsequent stages of preimplantation embryonic development, whereas the levels of transcripts for PC4 and PC5 gradually disappeared after the 2-cell stage. Proprotein convertase 1 (PC1) expression was further examined at the protein level. Immunoblotting revealed the presence of the zymogen and mature forms of this enzyme in eggs and embryos. Immunofluorescence laser confocal microscopy showed PC1-specific staining throughout the cytoplasm of unfertilized eggs. After fertilization, surprisingly, the staining was concentrated in pronuclei. It relocated to the cytoplasm at postzygotic stages and was particularly strong at junctions between blastomeres. The nuclear translocation of PC1 in fertilized eggs is probably mediated by its prodomain. Indeed, when transduced in human colon carcinoma LoVo cells, a mutant proPC1 incapable of cleaving off its prodomain was shown to accumulate in the nucleus. Furthermore, when N-terminally fused to green fluorescent protein, this domain was able to direct the reporter protein to the nucleus of these cells. Collectively, these data establish that eggs and preimplantation embryos express various PCs necessary for proteolytic activation of precursors of hormones and growth factors. They also raise the possibility of a nuclear function for PC1 during zygote formation.
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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 | 0.001 |
| 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".