Evaluation of the Ability of Short and Long Double-stranded RNAs to Induce Homologous Gene Silencing in the Protozoan Parasite, Toxoplasma gondii
Bibliographic record
Abstract
Among recently developed genetic tools, RNA interference (RNAi) is one of the most effective methods used in eukaryotes.Although an RNAi-like mechanism can be invoked in Toxoplasma gondii, a highly effective RNAi methodology is still elusive.Using a dual luciferase system, the ability of short (28 nucleotides) and long dsRNA (~600 nucleotides) as RNA effectors controlling gene expression in T. gondii was evaluated.An effective down regulation can be observed when ≤ 1 microgram of short dsRNAs were used in the down regulation of Renilla luciferase.We have detected that short dsRNAs are better gene modulators than long dsRNA.Most importantly, due to its high sensitivity and reproducibility, the dual luciferase reporter system reported here offers an excellent tool to be used in (i) the standardization of the RNAi silencing methodology performed in different Toxoplasma laboratories, (ii) the detailed mechanistic study of the RNAi pathway, and (iii) the development of better genetic tools for the biological study of protozoan parasites.
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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) | 0.000 | 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".