Genome-scale CRISPR screen identifies host factors associated with bovine parainfluenza virus 3 infection
Bibliographic record
Abstract
Bovine parainfluenza virus type 3 (BPIV-3) is a major pathogen associated with the bovine respiratory disease complex. However, the limited understanding of host factors crucial for BPIV-3 replication has hindered the development of effective preventive and therapeutic strategies. To tackle this critical issue, we constructed a bovine genome-wide CRISPR/Cas9 knockout library in Madin-Darby bovine kidney cells, which was then used to systematically identify and characterize the host genes essential for BPIV-3a replication. Subsequently, 10 genes were validated using both RT-qPCR and viral titration assays. Furthermore, through gene knockout or knockdown and rescue experiments, we identified three key genes required for BPIV-3a replication: Wnt family member 5A (WNT5A), solute carrier family 16 member 13 (SLC16A13), and selenoprotein N (SELENON). However, their effects on viral adhesion and internalization varied. WNT5A was involved in both processes, SLC16A13 participated solely in internalization, while SELENON had no significant impact on either. Beyond BPIV-3a, these three genes were also found to be essential for the infection of BPIV-3c and Bovine enterovirus. In conclusion, this study offers novel insights into the molecular mechanisms governing the replication and pathogenesis of BPIV-3a, BPIV-3c, and bovine enterovirus within host cells, thereby providing a foundation for identifying potential targets in the development of novel antiviral strategies.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".