Genome-scale CRISPR screen identifies host factors associated with bovine parainfluenza virus 3 infection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it