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Protein–DNA and ion–DNA interactions revealed through contrast variation SAXS

Overview of attention for article published in Biophysical Reviews, April 2016
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Title
Protein–DNA and ion–DNA interactions revealed through contrast variation SAXS
Published in
Biophysical Reviews, April 2016
DOI 10.1007/s12551-016-0196-8
Pubmed ID
Authors

Joshua M. Tokuda, Suzette A. Pabit, Lois Pollack

Abstract

Understanding how DNA carries out its biological roles requires knowledge of its interactions with biological partners. Since DNA is a polyanionic polymer, electrostatic interactions contribute significantly. These interactions are mediated by positively charged protein residues or charge compensating cations. Direct detection of these partners and/or their effect on DNA conformation poses challenges, especially for monitoring conformational dynamics in real time. Small-angle x-ray scattering (SAXS) is uniquely sensitive to both the conformation and local environment (i.e. protein partner and associated ions) of the DNA. The primary challenge of studying multi-component systems with SAXS lies in resolving how each component contributes to the measured scattering. Here, we review two contrast variation (CV) strategies that enable targeted studies of the structures of DNA or its associated partners. First, solution contrast variation enables measurement of DNA conformation within a protein-DNA complex by masking out the protein contribution to the scattering profile. We review a specific example, in which the real-time unwrapping of DNA from a nucleosome core particle is measured during salt-induced disassembly. The second method, heavy atom isomorphous replacement, reports the spatial distribution of the cation cloud around duplex DNA by exploiting changes in the scattering strength of cations with varying atomic numbers. We demonstrate the application of this approach to provide the spatial distribution of monovalent cations (Na(+), K(+), Rb(+), Cs(+)) around a standard 25-base pair DNA. The CV strategies presented here are valuable tools for understanding DNA interactions with its biological partners.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 12 23%
Student > Master 6 11%
Professor 4 8%
Student > Doctoral Student 3 6%
Other 3 6%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 32%
Physics and Astronomy 8 15%
Agricultural and Biological Sciences 7 13%
Chemistry 4 8%
Engineering 3 6%
Other 4 8%
Unknown 10 19%
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 24 August 2016.
All research outputs
#18,467,727
of 22,883,326 outputs
Outputs from Biophysical Reviews
#493
of 796 outputs
Outputs of similar age
#219,938
of 300,367 outputs
Outputs of similar age from Biophysical Reviews
#5
of 10 outputs
Altmetric has tracked 22,883,326 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 796 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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