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Quantitative measurement of exchange dynamics in proteins via 13C relaxation dispersion of 13CHD2-labeled samples

Overview of attention for article published in Journal of Biomolecular NMR, June 2016
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Title
Quantitative measurement of exchange dynamics in proteins via 13C relaxation dispersion of 13CHD2-labeled samples
Published in
Journal of Biomolecular NMR, June 2016
DOI 10.1007/s10858-016-0038-9
Pubmed ID
Authors

Enrico Rennella, Anne K. Schuetz, Lewis E. Kay

Abstract

Methyl groups have emerged as powerful probes of protein dynamics with timescales from picoseconds to seconds. Typically, studies involving high molecular weight complexes exploit (13)CH3- or (13)CHD2-labeling in otherwise highly deuterated proteins. The (13)CHD2 label offers the unique advantage of providing (13)C, (1)H and (2)H spin probes, however a disadvantage has been the lack of an experiment to record (13)C Carr-Purcell-Meiboom-Gill relaxation dispersion that monitors millisecond time-scale dynamics, implicated in a wide range of biological processes. Herein we develop an experiment that eliminates artifacts that would normally result from the scalar coupling between (13)C and (2)H spins that has limited applications in the past. The utility of the approach is established with a number of applications, including measurement of ms dynamics of a disease mutant of a 320 kDa p97 complex.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 9 24%
Professor > Associate Professor 5 14%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 32%
Chemistry 10 27%
Physics and Astronomy 2 5%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 9 24%