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Combining NMR and small angle X-ray and neutron scattering in the structural analysis of a ternary protein-RNA complex

Overview of attention for article published in Journal of Biomolecular NMR, March 2013
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Title
Combining NMR and small angle X-ray and neutron scattering in the structural analysis of a ternary protein-RNA complex
Published in
Journal of Biomolecular NMR, March 2013
DOI 10.1007/s10858-013-9719-9
Pubmed ID
Authors

Janosch Hennig, Iren Wang, Miriam Sonntag, Frank Gabel, Michael Sattler

Abstract

Many processes in the regulation of gene expression and signaling involve the formation of protein complexes involving multi-domain proteins. Individual domains that mediate protein-protein and protein-nucleic acid interactions are typically connected by flexible linkers, which contribute to conformational dynamics and enable the formation of complexes with distinct binding partners. Solution techniques are therefore required for structural analysis and to characterize potential conformational dynamics. Nuclear magnetic resonance spectroscopy (NMR) provides such information but often only sparse data are obtained with increasing molecular weight of the complexes. It is therefore beneficial to combine NMR data with additional structural restraints from complementary solution techniques. Small angle X-ray/neutron scattering (SAXS/SANS) data can be efficiently combined with NMR-derived information, either for validation or by providing additional restraints for structural analysis. Here, we show that the combination of SAXS and SANS data can help to refine structural models obtained from data-driven docking using HADDOCK based on sparse NMR data. The approach is demonstrated with the ternary protein-protein-RNA complex involving two RNA recognition motif (RRM) domains of Sex-lethal, the N-terminal cold shock domain of Upstream-to-N-Ras, and msl-2 mRNA. Based on chemical shift perturbations we have mapped protein-protein and protein-RNA interfaces and complemented this NMR-derived information with SAXS data, as well as SANS measurements on subunit-selectively deuterated samples of the ternary complex. Our results show that, while the use of SAXS data is beneficial, the additional combination with contrast variation in SANS data resolves remaining ambiguities and improves the docking based on chemical shift perturbations of the ternary protein-RNA complex.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
France 1 1%
Germany 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 21 28%
Student > Master 7 9%
Professor > Associate Professor 5 7%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 10 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 29%
Chemistry 17 23%
Agricultural and Biological Sciences 15 20%
Computer Science 2 3%
Physics and Astronomy 2 3%
Other 7 9%
Unknown 10 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2014.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Journal of Biomolecular NMR
#466
of 563 outputs
Outputs of similar age
#149,910
of 196,157 outputs
Outputs of similar age from Journal of Biomolecular NMR
#6
of 6 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 563 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 196,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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