An in‐built proteinase inhibitor system for the protection of recombinant proteins recovered from transgenic plants
Bibliographic record
Abstract
Proteolytic degradation represents a significant barrier to the efficient production of several recombinant proteins in plants, both in vivo during their expression and in vitro during their recovery from source tissues. Here, we describe a strategy to protect recombinant proteins during the recovery process, based on the coexpression of a heterologous proteinase inhibitor acting as a 'mouse trap' against the host proteases during extraction. After confirming the importance of trypsin- and chymotrypsin-like activities in crude protein extracts of potato (Solanum tuberosum L.) leaves, transgenic lines of potato expressing either tomato cathepsin D inhibitor (CDI) or bovine aprotinin, both active against trypsin and chymotrypsin, were generated by Agrobacterium tumefaciens-mediated genetic transformation. Leaf crude protein extracts from CDI-expressing lines, showing decreased levels of cathepsin D-like and ribulose 1,5-bisphosphate carboxylase/oxygenase hydrolysing activities in vitro, conducted decreased turnover rates of the selection marker protein neomycin phosphotransferase II (NPTII) relative to the turnover rates measured for transgenic lines expressing only the marker protein. A similar stabilizing effect on NPTII was observed in leaf protein extracts from plant lines coexpressing bovine aprotinin, confirming the ability of ectopically expressed broad-spectrum serine proteinase inhibitors to reproduce the protein-stabilizing effect of low-molecular-weight proteinase inhibitors generally added to protein extraction media.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".