Functional role of a high mol mass protein complex in the sea urchin yolk granule
Bibliographic record
Abstract
We have investigated the biochemical and functional characteristics of the major protein constituents of the yolk granule organelle present in sea urchin eggs and embryos. Compositional analysis, using sodium dodecyl sulfate polyacrylamide gel electrophoresis, revealed distinctly different polypeptide patterns under reducing and non-reducing conditions. In the presence of reducing agent, a 240 kDa species dissociated into polypeptides of apparent mol mass 160, 120 and 90 k. The relatedness of these polypeptides to the 240 kDa species was demonstrated in protein gel blot and peptide mapping analyses. The profile of yolk granule polypeptides was dynamic during embryonic development with the disappearance of the 160 kDa species and the coincidental appearance of lower mol mass polypeptides. However, the 240 kDa complex was detected even after the disappearance of the 160 kDa polypeptide. The 240 kDa complex was released from yolk granules in the absence of calcium and the purified species was shown to bind liposomes in a calcium-dependent manner. In addition, the 240 kDa complex possessed a calcium-dependent, liposome aggregating activity. The 240 kDa species could also induce the aggregation of yolk granules, previously denuded of the complex following treatment with either ethylenediaminetetraacetic acid or trypsin. Collectively, these results demonstrate the dynamic characteristics of the yolk granule 240 kDa protein complex and offer insights into a possible functional role.
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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 | 0.001 | 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".