Enhancing Production of Recombinant BMP‐2 in Mammalian Cell Culture
Bibliographic record
Abstract
Background Bone morphogenetic proteins (BMPs) have been used successfully for bone repair; however recombinant BMPs are produced at relatively low yields in mammalian cells. Literature suggests the BMP pro‐domain may be involved in folding, stability, and secretion of the mature protein. Objective Investigate inhibition of pro‐domain cleavage on recombinant BMP‐2 production. Methods CHO cells transfected with the hBMP‐2 gene were cultured in the presence of various concentrations of the pro‐protein convertase inhibitor IND‐1 in 24 and 72hr multi‐well, and two‐month bioreactor cultures. Mature and proBMP‐2 secretion was measured by enzyme‐linked immunosorbent assay and characterized by Western blot. BMP activity was determined by C2C12 bioassay. Cytotoxicity was determined by lactate dehydrogenase assay and cell viability counts. Results IND‐1 significantly enhanced secretion of both pro‐ and mature recombinant human BMP‐2 (rhBMP‐2) in short and long term cultures, without negative effects on cell growth or viability. The rhBMP‐2 was biologically active. ProBMP‐2 could be converted by enzymatic treatment into mature BMP‐2. Conclusions Addition of IND‐1 in cell culture medium increased rhBMP‐2 production in CHO‐BMP2 cells and is a simple, but effective way to enhance the production of active rhBMP‐2 in such production systems. Grant Oral Surgery Foundation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".