A novel paperclip double-stranded RNA structure demonstrates clathrin-independent uptake in the mosquito Aedes aegypti
Bibliographic record
Abstract
RNA interference (RNAi) has become a widely used technique of knocking down a gene's expression in insects, but its efficacy in some species is limited by a reduced ability of the cells to take in and disperse the double-stranded RNA (dsRNA) throughout the cytoplasm. While RNA transport proteins such as SID-1 and its orthologues can facilitate dsRNA uptake in some invertebrate species, dsRNA uptake in many insects examined to date appears to be facilitated by clathrin-mediated endocytosis (CME). In this study, we used pharmacological inhibitors and RNAi-mediated knockdown of endocytic genes to provide evidence that CME is the primary means of dsRNA uptake in the mosquito Aedes aegypti. Inhibition of clathrin-mediated endocytosis was sufficient to supress uptake of short (21 nt) interfering RNAs (siRNAs), short (23 nt) hairpin RNAs (shRNAs), and long (>200 nt) dsRNA molecules in Aedes aegypti cultured cells and larvae. In contrast, we observed that short (23 nt) "paperclip" RNAs (pcRNAs), with partially closed ends, efficiently enter cells via a clathrin-independent pathway and effectively facilitate transcript knockdown. This alternative dsRNA structure may prove useful in insects generally considered recalcitrant to RNAi and in insect populations where resistance to RNAi-insecticides may arise through changes in dsRNA uptake mechanisms.
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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".