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Record W1984912016 · doi:10.1093/nar/gkj455

2'-Deoxy-2'-fluoro- -D-arabinonucleic acid (2'F-ANA) modified oligonucleotides (ON) effect highly efficient, and persistent, gene silencing

2006· article· en· W1984912016 on OpenAlexfundno aff
Anna Kalota

Bibliographic record

VenueNucleic Acids Research · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthMcGill UniversityNational Cancer InstituteDoris Duke Charitable Foundation
KeywordsBiologyGene silencingOligonucleotideMolecular biologyGene knockdownDNAGene expressionNucleaseRNAGeneBiochemistry

Abstract

fetched live from OpenAlex

To be effective in vivo, antisense oligonucleotides (AS ON) should be nuclease resistant, form stable ON/RNA duplexes and support ribonuclease H mediated heteroduplex cleavage, all with negligible non-specific effects on cell function. We report herein that AS ONs containing a 2'-deoxy-2'-fluoro-beta-D-arabinonucleic acid (2'F-ANA) sugar modification not only meet these criteria, but have the added advantage of maintaining high intracellular concentrations for prolonged periods of time which appears to promote longer term gene silencing. To demonstrate this, we targeted the c-MYB protooncogene's mRNA in human leukemia cells with fully phosphorothioated 2'F-ANA-DNA chimeras (PS-2'FANA-DNA) and compared their gene silencing efficiency with AS ON containing unmodified nucleosides (PS-DNA). When delivered by nucleofection, chemically modified ON of both types effected a >90% knockdown of c-MYB mRNA and protein expression, but the PS-2'F-ANA-DNA were able to accomplish this at 20% of the dose of the PS-DNA, and in contrast to the PS-AS DNA, their silencing effect was still present after 4 days after a single administration. Therefore, our data demonstrate that PS-2'F-ANA-DNA chimeras are efficient gene silencing molecules, and suggest that they could have significant therapeutic potential.

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)0.001
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.288
Teacher spread0.266 · 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.

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

Citations133
Published2006
Admission routes1
Has abstractyes

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