ITAF <sub>45</sub> is a pervasive <i>trans</i> -acting factor for picornavirus Type II IRES elements
Bibliographic record
Abstract
Viruses have evolved elaborate mechanisms to hijack the host mRNA translation machinery to direct viral protein synthesis. Picornaviruses, whose RNA genome lacks a cap structure, inhibit cap-dependent mRNA translation, and utilize an internal ribosome entry site (IRES) in the RNA 5′ untranslated region to recruit the 40S ribosomal subunit. IRES activity is stimulated by a set of host proteins termed IRES trans -acting factors (ITAFs). The cellular protein ITAF 45 (also known as PA2G4 or EBP1) was documented as an essential ITAF for foot-and-mouth disease virus (FMDV), with no apparent role in cell-free systems for encephalomyocarditis virus (EMCV) and Theiler’s murine encephalomyelitis virus (TMEV), which are closely related viruses harboring similar IRES elements. Here, we demonstrate that ITAF 45 is a pervasive host factor for picornaviruses containing a Type II IRES. CRISPR/Cas9 knockout of ITAF 45 in several human cell lines conferred resistance to infection with FMDV, EMCV, TMEV, and equine rhinitis A virus (ERAV). We show that ITAF 45 enhances initiation of translation on Type II IRESs in cell line models. This is mediated by the C-terminal lysine-rich region of ITAF 45 known to enable binding to viral RNA. These findings challenge previous reports of a restricted role for ITAF 45 in FMDV infection, thus positioning ITAF 45 as a potential antiviral target for various animal viruses and emerging human cardioviruses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".