Comparison of CRISPR-Cas9 tools for transcriptional repression and gene disruption in the BEVS
Bibliographic record
Abstract
The baculovirus expression vector system (BEVS) is a robust and customizable platform for producing recombinant proteins for basic research and biomedical applications. However, genome instability is an intrinsic property of BEVs, and expression of several viral proteins negatively impacts recombinant protein quantity and quality. The CRISPR-Cas9 system is a powerful tool that simplifies sequence-specific genome editing and effective transcriptional regulation of genes for which disruption may not be appropriate. Here, the effectiveness of the CRISPR-Cas9 system for gene disruption and transcriptional repression in the BEVS was compared. A cell line constitutively expressing the cas9 or dcas9 gene was developed, and recombinant baculoviruses delivering the sgRNA were evaluated for disruption or repression of a reporter gfp gene. Finally, endogenous AcMNPV genes were targeted for disruption or downregulation to affect gene expression and baculovirus replication. This development lays a foundation for optimization of the BEV for improved genome stability and recombinant protein production.
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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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".