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Time-shared experiments for efficient assignment of triple-selectively labeled proteins.

Frank Löhr1, Aisha Laguerre1, Christoph Bock2

  • 1Institute of Biophysical Chemistry & Center for Biomolecular Magnetic Resonance, Goethe University, Max-von-Laue-Str. 9, D-60438 Frankfurt, Germany.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|December 3, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces novel NMR pulse sequences for combinatorial triple-selective labeling, improving protein analysis by reducing spectral overlap and enhancing signal-to-noise ratios for complex protein structures.

Keywords:
BEST-TROSYCell-free expressionDeuterationHadamard decodingIsotope labelingMembrane proteinsTriple-resonance NMR

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Nuclear Magnetic Resonance (NMR) Spectroscopy

Background:

  • Standard triple-resonance NMR experiments often suffer from signal overlap and low signal-to-noise ratios, complicating protein assignment.
  • Combinatorial triple-selective labeling aims to maximize amino acid and sequence-specific information but involves trade-offs in sample preparation and spectral acquisition.
  • Long measurement times are a significant bottleneck in analyzing large or complex protein systems.

Purpose of the Study:

  • To develop advanced NMR pulse sequences for combinatorial triple-selective labeling to overcome limitations in protein NMR assignment.
  • To reduce spectral overlap and improve signal-to-noise ratios in complex protein samples.
  • To shorten overall measurement times for protein structural analysis.

Main Methods:

  • Development of novel NMR pulse sequences that store phase-shifted transients separately for later recombination.
  • Utilizing sign encoding via (13)C 90° pulses to select or discriminate against specific carbon spins coupled to nitrogen-15 ((15)N).
  • Application of these methods to deconvolute (1)H-(15)N correlation maps of isotopomeric species in triple-selectively labeled proteins.

Main Results:

  • The proposed pulse sequences enable the generation of multiple 2D HN(CX) type spectra from a single experiment, typically acquired sequentially.
  • Effective selection and discrimination against (13)C' or (13)C(α) spins were achieved through phase-based sign encoding.
  • Significant reduction in spectral overlap was observed in (1)H-(15)N correlation maps, facilitating protein analysis.
  • The methods were successfully demonstrated on four membrane proteins with varying rotational correlation times (18–52 ns).

Conclusions:

  • The developed NMR pulse sequences offer an efficient strategy for combinatorial triple-selective labeling, enhancing protein assignment.
  • These techniques effectively address challenges of spectral overlap and signal-to-noise in standard NMR experiments.
  • The ability to generate multiple spectra from stored transients significantly reduces measurement time, particularly for challenging protein targets.