Evidence map›Paper›PMID 29717712›Full record

ArticleActa crystallographica. Section D, Structural biology2018

Microfocus diffraction from different regions of a protein crystal: structural variations and unit-cell polymorphism.

Michael C Thompson, Duilio Cascio, Todd O Yeates

Open access · bronzeAbstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Serial crystallography with multi-stage merging of thousands of images.Acta crystallographica. Section F, Structural biology communications · 2022
    Article
  2. Review
  3. Review
  4. Article
  5. Data-driven challenges and opportunities in crystallography.Emerging topics in life sciences · 2019
    Article
  6. 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

3 authors at 1 institution in 1 country.

Michael C ThompsonDepartment of Chemistry and Biochemistry, UCLA, Los Angeles, California, USA.ORCID 0000-0002-6099-2027
Duilio CascioUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, California, USA.
Todd O YeatesDepartment of Chemistry and Biochemistry, UCLA, Los Angeles, California, USA.ORCID 0000-0001-5709-9839
University of California, Los Angeles · US

Funding

Overall EvaluationP41GM103403 · NIGMS · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2012 to 2017
$14.3M
Pixel Array Detector for X-ray CrystallographyS10RR029205 · NCRR · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2010 to 2010
$1.8M
NCRR NIH HHS S10 RR029205NIGMS NIH HHS P41 GM103403U.S. Department of Energy, Office of Science DE-FC03-02ER63421W. M. Keck Foundation 2843398
6 · The paper itself

Abstract

Real macromolecular crystals can be non-ideal in a myriad of ways. This often creates challenges for structure determination, while also offering opportunities for greater insight into the crystalline state and the dynamic behavior of macromolecules. To evaluate whether different parts of a single crystal of a dynamic protein, EutL, might be informative about crystal and protein polymorphism, a microfocus X-ray synchrotron beam was used to collect a series of 18 separate data sets from non-overlapping regions of the same crystal specimen. A principal component analysis (PCA) approach was employed to compare the structure factors and unit cells across the data sets, and it was found that the 18 data sets separated into two distinct groups, with large R values (in the 40% range) and significant unit-cell variations between the members of the two groups. This categorization mapped the different data-set types to distinct regions of the crystal specimen. Atomic models of EutL were then refined against two different data sets obtained by separately merging data from the two distinct groups. A comparison of the two resulting models revealed minor but discernable differences in certain segments of the protein structure, and regions of higher deviation were found to correlate with regions where larger dynamic motions were predicted to occur by normal-mode molecular-dynamics simulations. The findings emphasize that large spatially dependent variations may be present across individual macromolecular crystals. This information can be uncovered by simultaneous analysis of multiple partial data sets and can be exploited to reveal new insights about protein dynamics, while also improving the accuracy of the structure-factor data ultimately obtained in X-ray diffraction experiments.

Indexed as

Datasets as TopicX-Ray DiffractionCrystallizationModels, MolecularMolecular Dynamics SimulationPrincipal Component AnalysisProtein ConformationProteinsSynchrotronsProteinscrystal disordermicrofocus X-ray diffractionnon-isomorphismprincipal component analysisprotein dynamics

Identifiers

PMID29717712
PMCPMC5930349
OpenAlexW2801760172

What OpenQuestion holds

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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.