Controlling Gene‐Silencing with Azobenzene‐Containing siRNAs (siRNAzos)
Bibliographic record
Abstract
Abstract This article contains the detailed biophysical characterization, biological testing, and photo‐switching protocols of azobenzene containing siRNAs (siRNAzos), which have photoswitchable properties that can be controlled with light. First, the siRNAzos are characterized by annealing the sense and anti‐sense strands together and then measuring the circular dichroism (CD) profile, and the melting temperatures (Tm) of the duplexes. Second, the biological testing of the siRNAzos in cell culture is done to determine their gene silencing efficacy. Finally, their gene‐silencing activities are measured after exposure to ultraviolet (UV) light in order to inactivate the siRNAzo, and then broadband visible light, which re‐activates the siRNAzo. This inactivation/reactivation protocol can be done in real time, and is reversible and robust and can be performed multiple times on the same sample if desired. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Bio‐physical characterization of siRNAzo duplexes Basic Protocol 2: Evaluation of azobenzene gene‐silencing using Firefly Luciferase Basic Protocol 3: Evaluation of azobenzene gene‐silencing using reverse transcriptase‐polymerase chain reaction (RT‐PCR)
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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) | 0.002 | 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".