Evidence map›Paper›PMID 27139628›Full record

ArticleActa crystallographica. Section D, Structural biology2016

RNA protects a nucleoprotein complex against radiation damage.

Charles S Bury, John E McGeehan, Alfred A Antson, Ian Carmichael, Markus Gerstel, Mikhail B Shevtsov, Elspeth F Garman

Open access · hybridAbstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Identifying and avoiding radiation damage in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Journal of applied crystallography · 2018
    Article
  10. Article
  11. OH cleavage from tyrosine: debunking a myth.Journal of synchrotron radiation · 2017
    Article
  12. Objective evaluation of radiation damage in a nucleoprotein complex.Acta crystallographica. Section D, Structural biology · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 3 countries.

Charles S BuryLaboratory of Molecular Biophysics, Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, England.
John E McGeehanMolecular Biophysics, Institute of Biomedical and Biomolecular Sciences, University of Portsmouth, King Henry I Street, Portsmouth PO1 2DY, England.
Alfred A AntsonYork Structural Biology Laboratory, Department of Chemistry, University of York, York Y010 5DD, England.
Ian CarmichaelNotre Dame Radiation Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA.
Markus GerstelLaboratory of Molecular Biophysics, Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, England.
Mikhail B ShevtsovLaboratory of Structural Biology of GPCRs, Moscow Institute of Physics and Technology, Dolgoprudniy 141700, Russian Federation.
Elspeth F GarmanLaboratory of Molecular Biophysics, Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, England.
MRC Laboratory of Molecular Biology · GBMoscow Institute of Physics and Technology · RUUniversity of Notre Dame · USUniversity of Oxford · GBUniversity of Portsmouth · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation damage during macromolecular X-ray crystallographic data collection is still the main impediment for many macromolecular structure determinations. Even when an eventual model results from the crystallographic pipeline, the manifestations of radiation-induced structural and conformation changes, the so-called specific damage, within crystalline macromolecules can lead to false interpretations of biological mechanisms. Although this has been well characterized within protein crystals, far less is known about specific damage effects within the larger class of nucleoprotein complexes. Here, a methodology has been developed whereby per-atom density changes could be quantified with increasing dose over a wide (1.3-25.0 MGy) range and at higher resolution (1.98 Å) than the previous systematic specific damage study on a protein-DNA complex. Specific damage manifestations were determined within the large trp RNA-binding attenuation protein (TRAP) bound to a single-stranded RNA that forms a belt around the protein. Over a large dose range, the RNA was found to be far less susceptible to radiation-induced chemical changes than the protein. The availability of two TRAP molecules in the asymmetric unit, of which only one contained bound RNA, allowed a controlled investigation into the exact role of RNA binding in protein specific damage susceptibility. The 11-fold symmetry within each TRAP ring permitted statistically significant analysis of the Glu and Asp damage patterns, with RNA binding unexpectedly being observed to protect these otherwise highly sensitive residues within the 11 RNA-binding pockets distributed around the outside of the protein molecule. Additionally, the method enabled a quantification of the reduction in radiation-induced Lys and Phe disordering upon RNA binding directly from the electron density.

Indexed as

Bacterial ProteinsCrystallography, X-RayGeobacillus stearothermophilusModels, MolecularProtein BindingProtein ConformationRNARNA-Binding ProteinsTranscription FactorsX-RaysBacterial ProteinsMtrB protein, BacteriaRNARNA-Binding ProteinsTranscription Factorsdecarboxylationelectron difference densityprotein–RNA complexradiation damagespecific damage

Identifiers

PMID27139628
PMCPMC4854314
OpenAlexW2343412540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.