Generation and characterization of a trackable plant-made influenza H5 virus-like particle (VLP) containing enhanced green fluorescent protein (eGFP)
Bibliographic record
Abstract
Medicago, Inc. has developed an efficient virus-like particle (VLP) vaccine production platform using the Nicotiana benthamiana expression system, and currently has influenza-based products targeting seasonal/pandemic hemagglutinin (HA) proteins in advanced clinical trials. We wished to generate a trackable HA-based VLP that would allow us to study both particle assembly in plants and VLP interactions within the mammalian immune system. To this end, a fusion protein was designed, composed of H5 (from influenza A/Indonesia/05/2005 [H5N1]) with enhanced green fluorescent protein (eGFP). Expression of H5-eGFP in N. benthamiana produced brightly fluorescent ~160 nm particles resembling H5-VLPS. H5-eGFP-VLPs elicited anti-H5 serologic responses in mice comparable to those elicited by H5-VLPs in almost all assays tested (hemagglutination inhibition/IgG(total)/IgG1/IgG2b/IgG2a:IgG1 ratio), as well as a superior anti-GFP IgG response (mean optical density = 2.52 ±0.16 sem) to that elicited by soluble GFP (mean optical density = 0.12 ± 0.06 sem). Confocal imaging of N. benthamiana cells expressing H5-eGFP displayed large fluorescent accumulations at the cell periphery, and draining lymph nodes from mice given H5-eGFP-VLPs via footpad injection demonstrated bright fluorescence shortly after administration (10 min), providing proof of concept that the H5-eGFP-protein/VLPs could be used to monitor both VLP assembly and immune trafficking. Given these findings, this novel fluorescent reagent will be a powerful tool to gain further fundamental insight into the biology of influenza VLP vaccines.—Young, K. R., Arthus-Cartier, G., Yam, K. K., Lavoie, P.-O., Landry, N., D'Aoust, M.-A., Vézina, L.-P., Couture, M. M.-J., Ward, B. J. Generation and characterization of a trackable plant-made influenza H5 virus-like particle (VLP) containing enhanced green fluorescent protein (eGFP). FASEB J. 29, 3817-3827 (2015). www.fasebj.org
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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) | 0.000 | 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 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".