Specific interaction of HeLa cell proteins with coxsackievirus B3 3'UTR: La autoantigen binds the 3' and 5'UTR independently of the poly(A) tail
Bibliographic record
Abstract
Coxsackievirus B3 (CVB3) is a positive, single-stranded RNA virus. The secondary structure of the 3' untranslated region (3'UTR) of CVB3 RNA consists of three stem-loops and is followed by a poly(A) tail sequence. These stem-loop structures have been suggested to participate in the regulation of viral replication through interaction with cellular proteins that are yet to be identified. In this study, by competitive UV cross-linking using mutated 3'UTR probes we have demonstrated that the poly(A) tail is essential for promoting HeLa cell protein interactions with the 3'UTR because deletion of this sequence abolished most of the protein interactions. Unexpectedly, mutations that disrupted the tertiary loop-loop interactions without affecting the stem-loops did not apparently affect these protein interactions, indicating that secondary structure rather than the high-order structure may play a major role in recruiting these RNA binding proteins. Among the observed 3'UTR RNA binding proteins, we have confirmed a 52 kDa protein as the human La autoantigen by using purified recombinant protein and a polyclonal La antibody. This protein can interact with both the 3' and 5'UTRs independently of the poly(A) tail. Further analysis by two-stage UV cross-linking, we found that the 3' and 5'UTR sequences may share the same binding site on the La protein.
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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 | 0.001 |
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".