Evidence map›Paper›PMID 29074846›Full record

ArticleScientific reports2017

A method for the unbiased and efficient segmental labelling of RNA-binding proteins for structure and biophysics.

Christopher Gallagher, Fabienne Burlina, John Offer, Andres Ramos

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Christopher GallagherInstitute of Structural and Molecular Biology, University College London, London, WC1E 6XA, UK.ORCID 0000-0003-3468-8838
Fabienne BurlinaSorbonne Universités, UPMC Univ. Paris 06, École Normale Supérieure, PSL Research University, CNRS, Laboratoire des Biomolécules (LBM), 4 place Jussieu, Paris, 75005, France.
John OfferThe Francis Crick Institute, London, NW1 1AT, UK. John.Offer@crick.ac.uk.ORCID 0000-0002-2471-1216
Andres RamosInstitute of Structural and Molecular Biology, University College London, London, WC1E 6XA, UK. a.ramos@ucl.ac.uk.

Funding

Cancer Research UK FC001178Medical Research Council FC001178Medical Research Council MC_PC_13051Medical Research Council MC_U117533887Medical Research Council MC_U117574558Medical Research Council MC_U117592730Medical Research Council U117574558Wellcome TrustWellcome Trust FC001178
6 · The paper itself

Abstract

Most eukaryotic RNA regulators recognise their RNA and protein partners by the combinatorial use of several RNA binding domains. Inter-domain dynamics and interactions play a key role in recognition and can be analysed by techniques such as NMR or FRET, provided that the information relative to the individual interactions can be de-convoluted. Segmentally labelling the proteins by ligating labelled and unlabelled peptide chains allows one to filter out unwanted information and observe the labelled moieties only. Several strategies have been implemented to ligate two protein fragments, but multiple ligations, which are necessary to segmentally label proteins of more than two domains, are more challenging and often dependent on the structure and solubility of the domains. Here we report a method to ligate multiple protein segments that allows the fast, high yield labelling of both internal and end domains, depending on the requirements. We use TCEP and mercaptophenylacetic acid (MPAA) in an optimised reaction environment to achieve an efficient ligation of protein domains independently from their structure or solubility. We expect the method will provide a useful tool for the molecular study of combinatorial protein-RNA recognition in RNA regulation.

Indexed as

Molecular Probe TechniquesEscherichia coliHumansMass SpectrometryNuclear Magnetic Resonance, BiomolecularProtein ConformationProtein DomainsProtein FoldingRecombinant ProteinsRNA-Binding ProteinsSUMO-1 ProteinRecombinant ProteinsRNA-Binding ProteinsSUMO-1 Protein

Identifiers

PMID29074846
PMCPMC5658380

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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.