Outer Dense Fiber Proteins Are Dominant Postobstruction Autoantigens in Adult Lewis Rats1
Bibliographic record
Abstract
Obstruction of the male reproductive tract commonly results in generation of antisperm autoantibodies. However, only a few of the sperm autoantigens recognized by these antibodies have been characterized. To identify postobstruction rat sperm autoantigens, sperm proteins were separated by two-dimensional(2-D) gel electrophoresis. Spots corresponding to proteins that were stained by at least 50% of postvasectomy rat sera on 2-D Western blots were removed from polyacrylamide gels and microsequenced by tandem mass spectrometry. From a total of 21 spots, 12 contained peptides that matched solely to either of two outer dense fiber proteins, odf1 or odf2. Six additional spots contained peptides comprising odf1 or odf2 and were accompanied by peptides representing other proteins. Only three spots lacked outer dense fiber peptides but did contain sequences of other known proteins. The results indicate that the outer dense fiber proteins odf1 and odf2 are dominant postobstruction autoantigens because they were detected in the majority of the immunoreactive protein spots examined. Possible explanations for this observation include the abundance of outer dense fiber proteins in spermatozoa, slow solubility, which may provide a sustained supply of antigen, and testis-specific expression during spermiogenesis.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".