Spectral and Hydrodynamic Analysis of West Nile Virus RNA-Protein Interactions by Multiwavelength Sedimentation Velocity in the Analytical Ultracentrifuge

  • Jin Zhang
  • , Joseph Z. Pearson
  • , Gary E. Gorbet
  • , Helmut Cölfen
  • , Markus W. Germann
  • , Margo A. Brinton
  • , Borries Demeler

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Interactions between nucleic acids and proteins are critical for many cellular processes, and their study is of utmost importance to many areas of biochemistry, cellular biology, and virology. Here, we introduce a new analytical method based on sedimentation velocity (SV) analytical ultracentrifugation, in combination with a novel multiwavelength detector to characterize such interactions. We identified the stoichiometry and molar mass of a complex formed during the interaction of a West Nile virus RNA stem loop structure with the human T cell-restricted intracellular antigen-1 related protein. SV has long been proven as a powerful technique for studying dynamic assembly processes under physiological conditions in solution. Here, we demonstrate, for the first time, how the new multiwavelength technology can be exploited to study protein-RNA interactions, and show how the spectral information derived from the new detector complements the traditional hydrodynamic information from analytical ultracentrifugation. Our method allows the protein and nucleic acid signals to be separated by spectral decomposition such that sedimentation information from each individual species, including any complexes, can be clearly identified based on their spectral signatures. The method presented here extends to any interacting system where the interaction partners are spectrally separable.

Original languageEnglish
Pages (from-to)862-870
Number of pages9
JournalAnalytical Chemistry
Volume89
Issue number1
DOIs
StatePublished - Jan 3 2017

Funding

This study was supported by Public Health Service Research Grant No. AI048088 to M.A.B. from the National Institute of Allergy and Infectious Diseases, National Institutes of Health and NIH (Grant No. GM-120600) to B.D., and by the National Science Foundation (Grant No. ACI-1339649) to B.D.; computer time on XSEDE resources was funded by National Science Foundation allocation Grant No. TG-MCB070039N to B.D. J.P. and H.C. acknowledge financial support by the Center for Applied Photonics (CAP) at the University of Konstanz, and computer allocations through Grant No. HKN00-10677 from the Julich Supercomputing Center.

Funder number
ACI-1339649, TG-MCB070039N
R01GM120600
AI048088
HKN00-10677

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