2018
DOI: 10.1002/cpnc.54
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Recording and Analyzing Nucleic Acid Distance Distributions with X‐Ray Scattering Interferometry (XSI)

Abstract: Most structural techniques provide averaged information or information about a single predominant conformational state. However, biological macromolecules typically function through series of conformations. Therefore, a complete understanding of macromolecular structures requires knowledge of the ensembles that represent probabilities on a conformational free energy landscape. Here we describe an emerging approach, X-ray scattering interferometry (XSI), a method that provides instantaneous distance distributio… Show more

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Cited by 8 publications
(20 citation statements)
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References 52 publications
(153 reference statements)
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“…Our results underscore the ability of XSI to reveal precise ensemble properties across a wide range of ionic strength, even for rapidly interchanging conformations ( 28 , 29 , 32 , 36 ). XSI, therefore, will provide a valuable reference for emerging FRET approaches that provide calibrated distances ( 50 ) and ≤ms time resolution ( 45 , 51–53 ).…”
Section: Discussionsupporting
confidence: 53%
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“…Our results underscore the ability of XSI to reveal precise ensemble properties across a wide range of ionic strength, even for rapidly interchanging conformations ( 28 , 29 , 32 , 36 ). XSI, therefore, will provide a valuable reference for emerging FRET approaches that provide calibrated distances ( 50 ) and ≤ms time resolution ( 45 , 51–53 ).…”
Section: Discussionsupporting
confidence: 53%
“…XSI measures the interference scattering pattern between two site-specifically attached electron-rich markers together with scattering terms from the molecule and the cross-scattering terms between the labels and the macromolecule. The interference between the two labels is extracted from measurements of the doubly-labeled, singly-labeled, and unlabeled samples and transformed into an absolute distance distribution using a weighted linear combination of basis scattering functions ( 23 , 24 , 26 , 28 , 29 , 31 , 32 ).…”
Section: Resultsmentioning
confidence: 99%
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