The RNA-Splicing Ligase RTCB Promotes Influenza A Virus Replication by Suppressing Innate Immunity via Interaction with RNA Helicase DDX1
Bibliographic record
Abstract
The RNA-splicing ligase RNA 2',3'-cyclic phosphate and 5'-OH ligase (RTCB) is a catalytic subunit of the tRNA-splicing ligase complex, which plays an essential role in catalyzing tRNA splicing and modulating the unfolded protein response. However, the function of RTCB in influenza A virus (IAV) replication has not yet been described. In this study, RTCB was revealed to be an IAV-suppressed host factor that was significantly downregulated during influenza virus infection in several transformed cell lines, as well as in primary human type II alveolar epithelial cells, and its knockout impaired the propagation of the IAV. Mechanistically, RTCB depletion led to a robust elevation in the levels of type I and type III IFNs and proinflammatory cytokines in response to IAV infection, which was confirmed by RTCB overexpression studies. Lastly, RTCB was found to compete with DDX21 for RNA helicase DDX1 binding, attenuating the DDX21-DDX1 association and thus suppressing the expression of IFN and downstream IFN-stimulated genes. Our study indicates that RTCB plays a critical role in facilitating IAV replication and reveals that the RTCB-DDX1 binding interaction is an important innate immunomodulator for the host to counteract viral infection.
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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) | 0.000 | 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 | 0.000 |
| 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".