Evidence map›Paper›PMID 20798173›Full record

ArticleNucleic acids research2010

A fast, efficient and sequence-independent method for flexible multiple segmental isotope labeling of RNA using ribozyme and RNase H cleavage.

Olivier Duss, Christophe Maris, Christine von Schroetter, Frédéric H-T Allain

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  6. Sequence-specific RNA recognition by an RGG motif connects U1 and U2 snRNP for spliceosome assembly.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
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  10. Article
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  12. Review
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  14. Strategies for RNA Resonance Assignment byFrontiers in molecular biosciences · 2021
    Review
  15. AromaticAngewandte Chemie (International ed. in English) · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Review
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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

4 authors.

Olivier DussInstitute of Molecular Biology and Biophysics, ETH Zürich, CH-8093 Zürich, Switzerland.
Christophe Maris
Christine von Schroetter
Frédéric H-T Allain

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural information on RNA, emerging more and more as a major regulator in gene expression, dramatically lags behind compared with information on proteins. Although NMR spectroscopy has proven to be an excellent tool to solve RNA structures, it is hampered by the severe spectral resonances overlap found in RNA, limiting its use for large RNA molecules. Segmental isotope labeling of RNA or ligation of a chemically synthesized RNA containing modified nucleotides with an unmodified RNA fragment have proven to have high potential in overcoming current limitations in obtaining structural information on RNA. However, low yields, cumbersome preparations and sequence requirements have limited its broader application in structural biology. Here we present a fast and efficient approach to generate multiple segmentally labeled RNAs with virtually no sequence requirements with very high yields (up to 10-fold higher than previously reported). We expect this approach to open new avenues in structural biology of RNA.

Indexed as

Ribonuclease HRNA, CatalyticChromatography, High Pressure LiquidDNA LigasesIsotope LabelingNuclear Magnetic Resonance, BiomolecularRNARNA, UntranslatedTranscription, GeneticDNA LigasesRibonuclease HRNARNA, CatalyticRNA, Untranslated

Identifiers

PMID20798173
PMCPMC2978384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.