Detection of Human Dicer and Argonaute 2 Catalytic Activity
Bibliographic record
Abstract
The microRNA (miRNA)-guided RNA silencing pathway is a central and well-defined cellular process involved in messenger RNA (mRNA) translational control. This complex regulatory process is achieved by a well orchestrated machinery composed of a relatively few protein components, among which the ribonuclease III (RNase III) Dicer and Argonaute 2 (Ago2) play a central role. These two proteins are essential and it is of particular interest to measure and detect their catalytic activity under various situations and/or conditions. In this chapter, we describe different protocols that aim to study and determine the catalytic activity of Dicer and Ago2 in cell extracts, immune complexes, and size-fractionated cell extracts. Another protocol aimed at assessing miRNA binding to Ago2 is also described. These experimental approaches are likely to be useful to researchers investigating the main steps of miRNA biogenesis and function in human health and diseases.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".