The Acetyl-Esterase Activity of the Hemagglutinin-Esterase Protein of Human Coronavirus OC43 Strongly Enhances the Production of Infectious Virus
Bibliographic record
Abstract
Most betacoronaviruses possess an hemagglutinin-esterase (HE) protein, which appears to play a role in binding to or release from the target cell. Since this HE protein possesses an acetyl-esterase activity that removes acetyl groups from O-acetylated sialic acid, a role as a receptor-destroying enzyme has been postulated. However, the precise function of HE and of its enzymatic activity remains poorly understood. Making use of neutralizing antibody and of molecular clones of recombinant human coronavirus OC43 (HCoV-OC43), our results suggest that the HE protein of this HCoV could be associated with infection of target cells and, most notably, is important in the production of infectious viral particles. Indeed, after transfecting BHK-21 cells with various cDNA infectious clones of HCoV-OC43, either lacking the HE protein or bearing an HE protein with a nonfunctional acetyl-esterase enzymatic activity, we were reproducibly unable to detect recombinant infectious viruses compared to the reference infectious HCoV-OC43 clone pBAC-OC43(FL). Complementation experiments, using BHK-21 cells expressing wild-type HE, either transiently or in a stable ectopic expression, demonstrate that this protein plays a very significant role in the production of infectious recombinant coronaviral particles that can subsequently more efficiently infect susceptible epithelial and neuronal cells. Even though the S protein is the main viral factor influencing coronavirus infection of susceptible cells, our results taken together indicate that a functionally active HE protein enhances the infectious properties of HCoV-OC43 and contributes to efficient virus dissemination in cell culture.
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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".