Evidence map›Paper›PMID 12384610›Full record

ArticleNucleic acids research2002

Automated selection of aptamers against protein targets translated in vitro: from gene to aptamer.

J Colin Cox, Andrew Hayhurst, Jay Hesselberth, Travis S Bayer, George Georgiou, Andrew D Ellington

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

51 citing papers in PubMed, 173 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. In vitro selection of aptamers and their applications.Nature reviews. Methods primers · 2023
    Article
  8. Aptamers: A prospective tool for infectious diseases diagnosis.Journal of clinical laboratory analysis · 2022
    Review
  9. Review
  10. Functional Nucleic Acid Nanomaterials: Development, Properties, and Applications.Angewandte Chemie (International ed. in English) · 2021
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Novel insights into the role of aptamers in the fight against cancer.Journal of cancer research and clinical oncology · 2019
    Review
  17. Review
  18. Quantitative imaging in medicine and surgery · 2018
    Article
  19. Review
  20. Review
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

6 authors at 1 institution in 1 country.

J Colin CoxInstitute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA.
Andrew Hayhurst
Jay Hesselberth
Travis S Bayer
George Georgiou
Andrew D Ellington
The University of Texas at Austin · US

Funding

SELECTION OF REV DECOYSR01AI036083 · NIAID · UNIVERSITY OF TEXAS AUSTIN · PI ELLINGTON, ANDREW D · 1994 to 2004
$1.4M
NIAID NIH HHS AI36083-09NIAID NIH HHS R01 AI036083
6 · The paper itself

Abstract

Reagents for proteome research must of necessity be generated by high throughput methods. Aptamers are potentially useful as reagents to identify and quantitate individual proteins, yet are currently produced for the most part by manual selection procedures. We have developed automated selection methods, but must still individually purify protein targets. Therefore, we have attempted to select aptamers against protein targets generated by in vitro transcription and translation of individual genes. In order to specifically immobilize the protein targets for selection, they are also biotinylated in vitro. As a proof of this method, we have selected aptamers against translated human U1A, a component of the nuclear spliceosome. Selected sequences demonstrated exquisite mimicry of natural binding sequences and structures. These results not only reveal a potential path to the high throughput generation of aptamers, but also yield insights into the incredible specificity of the U1A protein for its natural RNA ligands.

Indexed as

Genetic TechniquesProtein BiosynthesisRNA-Binding ProteinsAutomationBase SequenceBiotinylationCell LineHumansModels, GeneticMolecular Sequence DataOligonucleotidesProteinsRibonucleoprotein, U1 Small NuclearTranscription, GeneticOligonucleotidesProteinsRibonucleoprotein, U1 Small NuclearRNA-Binding ProteinsU1A protein

Identifiers

PMID12384610
PMCPMC137152
OpenAlexW2132151485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.