Evidence map›Paper›PMID 28009547›Full record

ArticleJournal of synchrotron radiation2017

Development of tools to automate quantitative analysis of radiation damage in SAXS experiments.

Jonathan C Brooks-Bartlett, Rebecca A Batters, Charles S Bury, Edward D Lowe, Helen Mary Ginn, Adam Round, Elspeth F Garman

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Adaptable SEC-SAXS data collection for higher quality structure analysis in solution.Protein science : a publication of the Protein Society · 2024
    Article
  6. Lattice response to the radiation damage of molecular crystals: radiation-induced versus thermal expansivity.Acta crystallographica Section B, Structural science, crystal engineering and materials · 2024
    Article
  7. Variability in X-ray induced effects in [Rh(COD)Cl]Physical chemistry chemical physics : PCCP · 2022
    Article
  8. Article
  9. Article
  10. Article
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  12. Article
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  15. Article
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  19. Article
  20. Estimate your dose: RADDOSE-3D.Protein science : a publication of the Protein Society · 2018
    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

7 authors.

Jonathan C Brooks-BartlettDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.
Rebecca A BattersDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.
Charles S BuryDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.
Edward D LoweDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.
Helen Mary GinnDivision of Structural Biology, Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.
Adam RoundEuropean Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042 Grenoble, France.
Elspeth F GarmanDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Biological small-angle X-ray scattering (SAXS) is an increasingly popular technique used to obtain nanoscale structural information on macromolecules in solution. However, radiation damage to the samples limits the amount of useful data that can be collected from a single sample. In contrast to the extensive analytical resources available for macromolecular crystallography (MX), there are relatively few tools to quantitate radiation damage for SAXS, some of which require a significant level of manual characterization, with the potential of leading to conflicting results from different studies. Here, computational tools have been developed to automate and standardize radiation damage analysis for SAXS data. RADDOSE-3D, a dose calculation software utility originally written for MX experiments, has been extended to account for the cylindrical geometry of the capillary tube, the liquid composition of the sample and the attenuation of the beam by the capillary material to allow doses to be calculated for many SAXS experiments. Furthermore, a library has been written to visualize and explore the pairwise similarity of frames. The calculated dose for the frame at which three subsequent frames are determined to be dissimilar is defined as the radiation damage onset threshold (RDOT). Analysis of RDOTs has been used to compare the efficacy of radioprotectant compounds to extend the useful lifetime of SAXS samples. Comparison of the RDOTs shows that, for radioprotectant compounds at 5 and 10 mM concentration, glycerol is the most effective compound. However, at 1 and 2 mM concentrations, dithiothreitol (DTT) appears to be most effective. Our newly developed visualization library contains methods that highlight the unusual radiation damage results given by SAXS data collected using higher concentrations of DTT: these observations should pave the way to the development of more sophisticated frame merging strategies.

Indexed as

Scattering, Small AngleHumansMacromolecular SubstancesProteinsSoftwareX-Ray DiffractionMacromolecular SubstancesProteinsCorMap visualizationRADDOSE-3Dradiation damageradioprotectantsSAXS

Identifiers

PMID28009547
PMCPMC5182020

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LicenceCC BY
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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.