Efficient Knockdown of Human <i>prnp</i> mRNA Expression Levels Using Hybrid Hammerhead Ribozymes
Bibliographic record
Abstract
Prion diseases are invariably fatal infectious diseases of the central nervous system. The prion protein has been identified as the underlying causative agent as PrP knockout mice (prnp(0/0)) are resistant to infection. This suggests that a significant reduction in the expression levels of PrP(c) should interrupt disease progression. Accomplishing this in vivo, upon presentation of symptoms, requires a mechanism that significantly reduces prnp mRNA levels while lacking potential side effects that may be cytotoxic or lethal to the host. Hybrid hammerhead ribozymes (HyHamRzs) include both a helicase recruitment signal and a tRNA(Val) promoter. HyHamRzs offer a means of highly specific and significant mRNA cleavage. In this study, data demonstrate increased activity granted to HamRzs by the addition of the helicase recruitment signal. Results show that three different HyHamRzs, targeting different locations along the full length prnp mRNA, reduced expression levels by greater than 95% relative to the control. It is postulated that HyHamRzs, modified to enhance serum stability and delivered intravenously to neurons by forming a complex with the modified rabies virus G protein (RVG), may offer a potential gene therapy strategy.
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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".