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Record W2080779692 · doi:10.1021/ja902636m

FLEth RNA Intercalating Probe Is a Convenient Reporter for Small Interfering RNAs

2009· article· en· W2080779692 on OpenAlexafffund
Ingrid M. van der Wiel, Jenny Cheng, Roger Koukiekolo, Rodney K. Lyn, Nathan Stevens, Naphtali O’Connor, Nicholas J. Turro, John Paul Pezacki

Bibliographic record

VenueJournal of the American Chemical Society · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsSteacie Institute for Molecular SciencesUniversity of Ottawa
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health Research
KeywordsChemistryRNASmall interfering RNAIntercalation (chemistry)BiophysicsCell biologyCombinatorial chemistryBiochemistryOrganic chemistryGene

Abstract

fetched live from OpenAlex

Here we report that the phenanthridine derivative covalently linked to a fluorescein moiety (FLEth) can act as a fluorescence based probe for duplex short interfering RNA (siRNA) and that this probe can also be used to report on protein-RNA interactions. A fluorescence resonance energy transfer (FRET) signal that is observed at 600 nm occurs when FLEth is complexed with siRNA. At least 2 molecules of FLEth can bind to 21 nt duplex siRNA, and the dissociation constants for these interactions are reported. We find that FLEth can also report on the interaction of siRNAs with the Carnation Italian ringspot viral suppressor of RNA silencing p19. FLEth does not bind to the siRNA-p19 complex nor can p19 bind to the siRNA-FLEth complex; rather FLEth can report on the fraction of siRNA that is unbound. FLEth can also bind siRNA in delivery systems such as liposomes. Once the siRNA reaches the interior of Huh 7.5 cells, FLEth dissociates from the siRNA and is found in the nucleoli suggesting that FLEth cannot bind to siRNAs that are associated with the RNA silencing machinery.

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.

How this classification was reachedexpand

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 categoriesnone
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 score0.014
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2009
Admission routes2
Has abstractyes

Explore more

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