Bibliographic record
Abstract
The study utilizes advanced gene editing tools, specifically the CRISPR/Cas9 system, to investigate the pathogenesis of African Swine Fever Virus (ASFV) by creating recombinant virus strains with targeted gene deletions. The study successfully demonstrated the application of CRISPR/Cas9 to delete key immune response modulation genes (A238L, EP402R, and 9GL) in ASFV. The reconstituted virus exhibited similar replication kinetics to the parent virus, indicating that these genes can be modified with low frequency. Additionally, the use of CRISPR/Cas9 significantly accelerated the production of recombinant ASFV strains, reducing the time required from several months to less than two months. The study also highlighted the potential of CRISPR/Cas12a for sensitive and specific detection of ASFV, which could be crucial for on-site diagnostics and control of ASF outbreaks. The findings underscore the utility of CRISPR/Cas9 and CRISPR/Cas12a systems in both the study of ASFV pathogenesis and the development of rapid diagnostic tools. These advancements could pave the way for more effective control measures and the potential development of live-attenuated vaccines for ASFV.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".