Combining methods for speeding up multi-dimensional acquisition. Sparse sampling and fast pulsing methods for unfolded proteins

Marion, Dominique

doi:10.1016/j.jmr.2010.06.007

Cited by 11 publications

(10 citation statements)

References 31 publications

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“…NUS has also been used to obtain high-resolution spectra for disordered proteins, which exhibit narrow spectral dispersion and hence crowded spectra 38,40,41 . The higher resolution afforded by NUS has also enabled novel assignment strategies for protein spectra that are not practical with uniform sampling 35,42 .…”

Section: Introductionmentioning

confidence: 99%

Nonuniform Sampling and Maximum Entropy Reconstruction in Multidimensional NMR

et al. 2014

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CONSPECTUS NMR spectroscopy is one of the most powerful and versatile analytic tools available to chemists. The discrete Fourier transform (DFT) played a seminal role in the development of modern NMR, including the multidimensional methods that are essential for complex biomolecules, but it suffers from well-known limitations. Chief among these is the difficulty of obtaining high-resolution spectral estimates from short data records. For multidimensional NMR experiments, this imposes a sampling burden, because the time required to perform an experiment is proportional to the number of data samples. At high magnetic field, where spectral dispersion is greatest, the problem becomes particularly acute. Consequently multidimensional NMR experiments that rely on the DFT either must sacrifice resolution in order to be completed in reasonable time, or they must use inordinate amounts of time to achieve the potential resolution afforded by high-field magnets. Maximum entropy (MaxEnt) reconstruction is a non-Fourier method of spectrum analysis capable of providing high-resolution spectral estimates from short data records. It can also be used with nonuniformly sampled data sets. Since resolution is substantially determined by the largest evolution time sampled, nonuniform sampling enables high resolution while avoiding the need to uniformly sample at large numbers of evolution times. The Nyquist sampling theorem does not apply to nonuniformly sampled data, and artifacts that attend the use of nonuniform sampling can be viewed as frequency-aliased signals. Strategies for suppressing nonuniform sampling artifacts include careful design of the sampling scheme and special methods for computing the spectrum. Time savings of a factor of three for each of the N-1 indirect dimensions of an N-dimensional NMR experiment are now routinely reported, making practical high-resolution 3- and 4-dimensional experiments that were previously prohibitively time consuming. Conversely, tailored sampling in the indirect dimensions has been utilized to improve sensitivity. Improvements in nonuniform sampling strategies appear poised to enable further reductions in sampling requirements for high resolution NMR spectra, and the combination of these strategies with robust non-Fourier methods of spectrum analysis (such as MaxEnt) represent a profound change in the way multidimensional experiments are conducted. The potential benefits will enable more advanced applications of multidimensional NMR spectroscopy to biological macromolecules, metabolomics, natural products, dynamic systems, and other areas where resolution, sensitivity, or experiment time are limiting. Just as the development of multidimensional NMR methods presaged multidimensional methods in other areas of spectroscopy, we anticipate that nonuniform sampling approaches will find application in other forms of spectroscopy.

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Section: Introductionmentioning

confidence: 99%

Nonuniform Sampling and Maximum Entropy Reconstruction in Multidimensional NMR

et al. 2014

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“…Several groups have now also observed that these new techniques may be used in combination to achieve even greater effect. For example, the use of BEST sequences has proven to be compatible with sparse sampling to further accelerate the acquisition of 3D sequences [44]. Ultrafast NMR can be combined with SOFAST-HMQC 2D experiments into a single, relaxation optimized and spatially encoded tool [21].…”

Section: Discussionmentioning

confidence: 99%

Low concentration of a Gd-chelate increases the signal-to-noise ratio in fast pulsing BEST experiments

Sibille

Bellot

Wang

et al. 2012

Journal of Magnetic Resonance

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“…With respect to high magnetic field applications in solution NMR, NUS is particularly valuable for multi-dimensional heteronuclear-detected experiments and challenging applications such as metabolomics (74), disordered proteins (75–77), and in cell NMR (78), with higher dimensionality experiments offering improved resolution. Maximum entropy reconstruction algorithms have been demonstrated to be robust for these applications (79).…”

Section: Methods For the Study Of Biomolecules At Ultrahigh Magnetic mentioning

confidence: 99%

NMR of Macromolecular Assemblies and Machines at 1 GHz and Beyond: New Transformative Opportunities for Molecular Structural Biology

Quinn

Wang

Polenova

2017

Methods in Molecular Biology

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Combining methods for speeding up multi-dimensional acquisition. Sparse sampling and fast pulsing methods for unfolded proteins

Cited by 11 publications

References 31 publications

Nonuniform Sampling and Maximum Entropy Reconstruction in Multidimensional NMR

Nonuniform Sampling and Maximum Entropy Reconstruction in Multidimensional NMR

Low concentration of a Gd-chelate increases the signal-to-noise ratio in fast pulsing BEST experiments

NMR of Macromolecular Assemblies and Machines at 1 GHz and Beyond: New Transformative Opportunities for Molecular Structural Biology

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