Expression of multiple proteins using full‐length and deleted versions of cowpea mosaic virus RNA‐2
Bibliographic record
Abstract
The use of multiple copies of vectors based on either full-length or deleted versions of cowpea mosaic virus RNA-2 for the production of heteromeric proteins in plants was investigated. Co-infiltration of two full-length RNA-2 constructs containing different marker genes into Nicotiana benthamiana in the presence of RNA-1 showed that the two foreign proteins were efficiently expressed within the same cell in inoculated tissue. Furthermore, the proteins were co-localized to the same subcellular compartments, an essential prerequisite for heteromer formation. However, segregation of two separate RNA-2 molecules, and therefore expression of the two proteins, was observed on systemic spread of the recombinant viruses. Thus, efficient assembly of heteromeric proteins is likely to occur only in inoculated tissue. To determine the optimum approach for expression in inoculated tissue, the heavy and light chains of the blood group-typing immunoglobulin G (IgG) C5-1 were inserted into full-length and deleted versions of RNA-2, and the constructs were agroinfiltrated in the presence of RNA-1. The results obtained showed that full-size IgG molecules accumulated using both approaches, but that the levels were significantly higher when deleted RNA-2 vectors were used. The levels were also greatly enhanced by the inclusion of an endoplasmic reticulum retention signal at the C-terminus of the heavy chain. As the potential benefit of using full-length RNA-2 constructs, the ability to spread systemically, appears to be irrelevant to the production of heteromeric proteins, the use of deleted versions of RNA-2 is clearly advantageous, particularly as they offer the benefit of biocontainment.
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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) | 0.000 | 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".