Expression and processing of human immunodeficiency virus type 1 gp160 using the vesicular stomatitis virus New Jersey serotype vector system
Bibliographic record
Abstract
The Indiana serotype of vesicular stomatitis virus (VSV(IND)), but not the New Jersey serotype (VSV(NJ)), has been widely used as a gene expression vector. In terms of prime-boost-based vaccine strategies, it would be desirable to use two different VSV serotypes to avoid immunity against the priming viral vector. Here, we report that we have applied the VSV(NJ) vector system for expression of the env gene of human immunodeficiency virus type 1 (HIV-1). The HIV-1 env gene was inserted into the VSV(NJ) vector system at two different sites: between the P and M genes (NP-gp160-MGL) and between the G and L genes (NPMG-gp160-L). The HIV-1 env gene product, gp160, was efficiently expressed and processed in cells infected with either of these two recombinant VSV-HIV-1(gp160) viruses. In this study, we have investigated the applicability of the VSV(NJ) vector system for foreign gene expression.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".