Literature DB >> 26068745

Combining NMR and EPR to Determine Structures of Large RNAs and Protein-RNA Complexes in Solution.

Olivier Duss1, Maxim Yulikov2, Frédéric H T Allain1, Gunnar Jeschke.   

Abstract

Although functional significance of large noncoding RNAs and their complexes with proteins is well recognized, structural information for this class of systems is very scarce. Their inherent flexibility causes problems in crystallographic approaches, while their typical size is beyond the limits of state-of-the-art purely NMR-based approaches. Here, we review an approach that combines high-resolution NMR restraints with lower resolution long-range constraints based on site-directed spin labeling and measurements of distance distribution restraints in the range between 15 and 80Å by the four-pulse double electron-electron resonance (DEER) EPR technique. We discuss sample preparation, the basic assumptions behind data analysis in the EPR-based distance measurements, treatment of the label-based constraints in generation of the structure, and the back-calculation of distance distributions for structure validation. Step-by-step protocols are provided for DEER distance distribution measurements including data analysis and for CYANA based structure calculation using combined NMR and EPR data.
© 2015 Elsevier Inc. All rights reserved.

Keywords:  Constraint-based modeling; DEER; Distance measurements; EPR; Hybrid methods; NMR; Protein–RNA complex; RNA; Solution structure determination; Spin labeling

Mesh:

Substances:

Year:  2015        PMID: 26068745     DOI: 10.1016/bs.mie.2015.02.005

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  13 in total

1.  An Integrated Spin-Labeling/Computational-Modeling Approach for Mapping Global Structures of Nucleic Acids.

Authors:  Narin S Tangprasertchai; Xiaojun Zhang; Yuan Ding; Kenneth Tham; Remo Rohs; Ian S Haworth; Peter Z Qin
Journal:  Methods Enzymol       Date:  2015-08-08       Impact factor: 1.600

2.  Protein-nucleic acids interactions: new ways of connecting structure, dynamics and function.

Authors:  Maria Spies; Brian O Smith
Journal:  Biophys Rev       Date:  2017-08-04

3.  MMM: A toolbox for integrative structure modeling.

Authors:  Gunnar Jeschke
Journal:  Protein Sci       Date:  2017-09-04       Impact factor: 6.725

4.  Genetic Incorporation of the Unnatural Amino Acid p-Acetyl Phenylalanine into Proteins for Site-Directed Spin Labeling.

Authors:  Eric G B Evans; Glenn L Millhauser
Journal:  Methods Enzymol       Date:  2015-07-02       Impact factor: 1.600

5.  Tm filtering by 1H-methyl labeling in a deuterated protein for pulsed double electron-electron resonance EPR.

Authors:  Thomas Schmidt; G Marius Clore
Journal:  Chem Commun (Camb)       Date:  2020-09-17       Impact factor: 6.222

Review 6.  Applications of NMR to structure determination of RNAs large and small.

Authors:  Ravi P Barnwal; Fan Yang; Gabriele Varani
Journal:  Arch Biochem Biophys       Date:  2017-06-16       Impact factor: 4.013

Review 7.  Paramagnetic Chemical Probes for Studying Biological Macromolecules.

Authors:  Qing Miao; Christoph Nitsche; Henry Orton; Mark Overhand; Gottfried Otting; Marcellus Ubbink
Journal:  Chem Rev       Date:  2022-01-27       Impact factor: 72.087

8.  Encoded loop-lanthanide-binding tags for long-range distance measurements in proteins by NMR and EPR spectroscopy.

Authors:  Dominic Barthelmes; Markus Gränz; Katja Barthelmes; Karen N Allen; Barbara Imperiali; Thomas Prisner; Harald Schwalbe
Journal:  J Biomol NMR       Date:  2015-09-04       Impact factor: 2.835

9.  Fingerprinting the junctions of RNA structure by an open-paddlewheel diruthenium compound.

Authors:  Gloria Lozano; Reyes Jimenez-Aparicio; Santiago Herrero; Encarnacion Martinez-Salas
Journal:  RNA       Date:  2016-01-12       Impact factor: 4.942

Review 10.  Applications of contact predictions to structural biology.

Authors:  Felix Simkovic; Sergey Ovchinnikov; David Baker; Daniel J Rigden
Journal:  IUCrJ       Date:  2017-04-18       Impact factor: 4.769

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