Characterization of a recombinant porcine follistatin in a heat shock expression system
Bibliographic record
Abstract
The role of follistatin in ovarian function has yet to be fully elucidated; it is present in low concentration in vivo and it is difficult to obtain suitable quantities of follistatin for characterization. We have cloned porcine follistatin cDNA in an expression system that uses the heat shock protein promoter BoHSP70. Recombinant follistatin with apparent molecular masses of 39, 46, 48, 50 kDa was expressed and secreted into culture medium at concentrations of 400–500 μg × 20 mL-1 × 150 cm-2 flask (4 × 107 cells). In ligand blots, the recombinant follistatin was shown to be immunologically similar to native follistatin and to bind to recombinant activin A. Porcine granulosa cells dissected from 1–3 mm follicles from immature gilts were cultured with recombinant follistatin or with a follistatin monoclonal antibody to examine the activity of the recombinant follistatin. At a physiologically relevant concentration of 1 μg mL-1 the recombinant porcine follistatin suppressed the accumulation of estradiol-17β (P < 0.05). There was a trend for estradiol-17β accumulation in the presence of 10 μg mL-1 of monoclonal anti-follistatin antibody (P = 0.1). This expression system consistently produced large quantities of recombinant porcine follistatin, which is immunologically and biologically similar to follistatin, and is capable of independently inhibiting estratiol-17βproduction in vitro. Key words: Porcine, follistatin, heat shock promoter, glycoprotein, ovary, estradiol
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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".