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Record W2766467887 · doi:10.1002/slct.201702322

siRNAzos: A New Class of Azobenzene‐Containing siRNAs that Can Photochemically Regulate Gene Expression

2017· article· en· W2766467887 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemistrySelect · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPhotochromic and Fluorescence Chemistry
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsGene knockdownAzobenzeneSmall interfering RNARNA interferenceGene silencingSense (electronics)Sense strandUltraviolet lightChemistryBiocompatibilityRNAGeneBiophysicsCell biologyBiologyMoleculeBiochemistryPhotochemistry

Abstract

fetched live from OpenAlex

Abstract Fine‐tuning the activity of short‐interfering RNAs (siRNAs) with light could help overcome several obstacles related to potency, delivery, and off‐target effects. In this study, we chemically modify siRNAs that contain azobenzene derivative spacers within the sense strand. These molecules are called siRNAzos and they are successfully accommodated within the RNAi pathway as measured by gene‐silencing dose‐dependent knockdown. In addition to its RNAi biocompatibility, we are able to photochemically control the activity of the siRNAzos that contain the azobenzene within the central region of the sense strand. We demonstrate it is possible to both inactivate and reactivate several siRNAzos with ultraviolet and visible light, respectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.257
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it