Evidence map›Paper›PMID 12637683›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Yeast genetic selections to optimize RNA decoys for transcription factor NF-kappa B.

Laura A Cassiday, L James Maher

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 62 citations in OpenAlex.

  1. Decoy oligonucleotides targeting NF-κB: a promising therapeutic approach for inflammatory diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
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  3. Cancer immunomodulation using bispecific aptamers.Molecular therapy. Nucleic acids · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Laura A CassidayDepartment of Biochemistry and Molecular Biology, Mayo Foundation, Rochester, MN 55905, USA.
L James Maher
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro-selected RNA aptamers are potential inhibitors of disease-related proteins. Our laboratory previously isolated an RNA aptamer that binds with high affinity to human transcription factor NF-kappaB. This RNA aptamer competitively inhibits DNA binding by NF-kappaB in vitro and is recognized by its target protein in vivo in a yeast three-hybrid system. In the present study, yeast genetic selections were used to optimize the RNA aptamer for binding to NF-kappaB in the eukaryotic nucleus. Selection for improved binding to NF-kappaB from RNA libraries encoding (i) degenerate aptamer variants and (ii) sequences present at round 8 of 14 total rounds of in vitro selection yielded RNA aptamers with dramatically improved in vivo activity. Furthermore, we show that an in vivo-optimized RNA aptamer exhibits specific "decoy" activity, inhibiting transcriptional activation by its NF-kappaB target protein in a yeast one-hybrid assay. This decoy activity is enhanced by the expression of a bivalent aptamer. The combination of in vitro and in vivo genetic selections was crucial for obtaining RNA aptamers with in vivo decoy activity.

Indexed as

Selection, GeneticBase SequenceCloning, MolecularKineticsMolecular Sequence DataNF-kappa BNucleic Acid ConformationRNA, FungalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsNF-kappa BRNA, FungalSaccharomyces cerevisiae Proteins

Identifiers

PMID12637683
PMCPMC153025
OpenAlexW2033863828

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.