Transgenic Small Interfering RNA Halts Amyotrophic Lateral Sclerosis in a Mouse Model
Bibliographic record
Abstract
Many autosomal dominant diseases such as familial amyotrophic lateral sclerosis (ALS) with copper/zinc superoxide dismutase (SOD1) mutation may be induced by missense point mutations that result in the production of proteins with toxic properties. Reduction in the encoding of proteins from such mutated genes can therefore be expected to improve the disease phenotype. The duplex of 21-nucleotide RNA, known as small interfering RNA (siRNA), has recently emerged as a powerful gene silencing tool. We made transgenic (Tg) mice with modified siRNA, which had multiple mismatch alternations within the sense strand, to prevent the "shutdown phenomenon" of transgenic siRNA. Consequently, the in vivo knockdown effect of siRNA on SOD1 expression did not diminish over four generations. When we crossed these anti-SOD1 siRNA Tg mice with SOD1G93A Tg mice, a model for ALS, siRNA prevented the development of disease by inhibiting mutant G93A SOD1 production in the central nervous system. Our findings clearly proved the principle that siRNA-mediated gene silencing can stop the development of familial ALS with SOD1 mutation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".