Evidence map›Paper›PMID 24899400›Full record

ArticleJournal of biomolecular NMR2014

Strategy for automated NMR resonance assignment of RNA: application to 48-nucleotide K10.

Barbara Krähenbühl, Peter Lukavsky, Gerhard Wider

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Article in Journal of biomolecular NMR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Barbara KrähenbühlInstitute of Molecular Biology and Biophysics, ETH Zurich, 8093, Zurich, Switzerland.
Peter Lukavsky
Gerhard Wider

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A procedure is presented for automated sequence-specific assignment of NMR resonances of uniformly [(13)C, (15)N]-labeled RNA. The method is based on a suite of four through-bond and two through-space high-dimensional automated projection spectroscopy (APSY) experiments. The approach is exemplified with a 0.3 mM sample of an RNA stem-loop with 48 nucleotides, K10, which is responsible for dynein-mediated localization of Drosophila fs(1)K10 mRNA transcripts. The automated analysis of the APSY data led to highly accurate and precise 3- to 4-dimensional peak lists. They provided a reliable basis for the subsequent sequence-specific resonance assignment with the algorithm FLYA and resulted in the fully automated resonance assignment of more than 80 % of the resonances of the (13)C-(1)H moieties at the 1', 2', 5, 6, and 8 positions in the nucleotides. The procedure was robust with respect to numerous impurity peaks, low concentration of this for NMR comparably large RNA, and structural features such as a loop, single-nucleotide bulges and a non-Watson-Crick wobble base pairs. Currently, there is no precise chemical shift statistics (as used by FLYA) for RNA regions which deviate from the regular A-form helical structure. Reliable and precise peak lists are thus required for automated sequence-specific assignment, as provided by APSY.

Indexed as

AlgorithmsNucleic Acid ConformationAnimalsAutomationDrosophila melanogasterDrosophila ProteinsNuclear Magnetic Resonance, BiomolecularNuclear ProteinsRNA, MessengerTranscription FactorsDrosophila Proteinsfs(1)K10 protein, DrosophilaNuclear ProteinsRNA, MessengerTranscription Factors

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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.