Evidence map›Paper›PMID 15146082›Full record

ArticleRNA (New York, N.Y.)2004

A general method for rapid and nondenaturing purification of RNAs.

Jeffrey S Kieft, Robert T Batey

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. RNA-protein analysis using a conditional CRISPR nuclease.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  18. Article
  19. Article
  20. The meaning of a minuscule ribozyme.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2011
    Article
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.

Jeffrey S KieftDepartment of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Denver, Colorado 80262, USA. jeffrey.kieft@uchsc.edu
Robert T Batey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key bottleneck in RNA structural studies is preparing milligram quantities of RNA, and current techniques have changed little in over a decade. To address this, we have developed an affinity tag-based purification method of RNA oligonucleotides. The tag is attached to the 3'-end of almost any desired RNA sequence, allowing for the rapid and specific removal of the RNA of interest directly from in vitro transcription reactions using an affinity column to which a specific RNA-binding protein has been attached. Following a wash, the RNA of interest is eluted by the addition of imidazole to the column, activating a mutant HdeltaV ribozyme incorporated into the tag. The affinity column can then be rapidly regenerated using conditions that release the protein-RNA tag interaction without denaturing the protein. To demonstrate that this method rapidly generates high-quality RNA, we have transcribed, purified, and generated diffraction-quality crystals of a mutant form of the Tetrahymena thermophila P4-P6 domain in a 48-h time period.

Indexed as

Affinity LabelsAnimalsBase SequenceCrystallizationCrystallography, X-RayIntronsMagnetic Resonance SpectroscopyMolecular Sequence DataMutationNucleic Acid ConformationRNARNA, ProtozoanTetrahymena thermophilaThermotoga maritimaAffinity LabelsRNARNA, Protozoan

Identifiers

PMID15146082
PMCPMC1370590

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.