Development and testing of retroviral vectors expressing multimeric hammerhead ribozymes targeted against all major clades of HIV-1
Bibliographic record
Abstract
Rz1-9 is a multimeric hammerhead ribozyme targeted against nine highly conserved sites within the env coding region of human immunodeficiency virus type-1 (HIV-1) RNA. This ribozyme was shown to inhibit HIV-1 replication (1, 2). However, Rz1-9 target sites are only conserved within the clade B of HIV-1. In this study, we have designed another multimeric ribozyme, Rz10-14. This multimeric ribozyme is targeted against five sites that are highly conserved amongst all major clades of HIV-1. A third multimeric ribozyme, Rz1-14, was obtained by combining both Rz1-9 and Rz10-14. A mouse stem cell virus-based MGIN vector (3) was used to express these ribozymes in a human CD4+ T lymphoid cell line. Stable transductants expressed vector RNA containing ribozymes which were shown to be active. In HIV-1 challenge experiments, very little or no virus production could be detected in the pools of stable MT4 transductants expressing Rz1-14 for 60 days tested. Inhibition of virus replication was most prominent with Rz1-14, followed by Rz1-9, and then Rz10-14. Thus, the combined multimeric ribozyme, Rz1-14, is more effective than Rz1-9 or Rz10-14. As Rz1-14 is targeted against all major clades of HIV-1, it will be further pursued for use in HIV-1 gene therapy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".