Novel purification method for mammalian seminal plasma phospholipid‐binding proteins reveals the presence of a novel member of this family of protein in stallion seminal fluid
Bibliographic record
Abstract
A family of bull seminal plasma (BSP) phospholipid-binding proteins (BSP proteins), potentiate heparin- and HDL-induced capacitation. The homologous proteins have been purified from stallion and boar seminal plasma, and detected in low concentrations in other mammalian seminal plasma. In this study, we developed a new isolation method for mammalian seminal plasma choline phospholipid-binding proteins wherein they are present in low concentrations. The method is based on the interaction of this family of proteins with egg yolk low-density lipoprotein fraction (LDF). In order to demonstrate the feasibility of the method, we incubated LDF with alcohol precipitates of bull, boar, and stallion seminal plasma. LDF were re-isolated by ultracentrifugation along with bound proteins. LDF with associated proteins were dialyzed, lyophilized, and delipidated. BSP homologous proteins were finally purified by p-aminophenyl phosphorylcholine (PPC)-agarose and/or gelatin-agarose chromatographies, and analyzed by SDS-PAGE. With this new protocol, phospholipid-binding proteins of bull, boar, and stallion seminal plasma were recovered almost 100%. A new 12 kDa stallion seminal plasma protein of the same family was also isolated and partially sequenced. The radio-immunoassay (RIA) data showed that 10 mg of LDF can bind all BSP proteins present in 120 mg of alcohol precipitated BSP proteins. These results confirm the efficiency of the method and that the LDF step could be used for the isolation of all BSP proteins homologs from different mammalian species.
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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 | 0.000 | 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".