Membrane protein structure determination and characterisation by solution and solid-state nmr

Yeh, Vivien; Goode, Alice; Bonev, Boyan B.

Abstract

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Biological membranes define the interface of life and its basic unit, the cell. Membrane proteins play key roles in membrane functions, yet their structure and mechanisms remain poorly understood. Breakthroughs in crystallography and electron microscopy have invigorated structural analysis while failing to characterise key functional interactions with lipids, small molecules and membrane modulators, as well as their conformational polymorphism and dynamics. NMR is uniquely suited to resolving atomic environments within complex molecular assemblies and reporting on membrane organisation, protein structure, lipid and polysaccharide composition, conformational variations and molecular interactions. The main challenge in membrane protein studies at the atomic level remains the need for a membrane environment to support their fold. NMR studies in membrane mimetics and membranes of increasing complexity offer close to native environments for structural and molecular studies of membrane proteins. Solution NMR inherits high resolution from small molecule analysis, providing insights from detergent solubilised proteins and small molecular assemblies. Solid-state NMR achieves high resolution in membrane samples through fast sample spinning or sample alignment. Recent developments in dynamic nuclear polarisation NMR allow signal enhancement by orders of magnitude opening new opportunities for expanding the applications of NMR to studies of native membranes and whole cells.

Citation

Yeh, V., Goode, A., & Bonev, B. B. (2020). Membrane protein structure determination and characterisation by solution and solid-state nmr. Biology, 9(11), https://doi.org/10.3390/biology9110396

• Journal Article Type: Article
• Acceptance Date: Nov 11, 2020
• Online Publication Date: Nov 12, 2020
• Publication Date: Nov 1, 2020
• Deposit Date: Dec 1, 2020
• Publicly Available Date: Dec 1, 2020
• Journal: Biology
• Electronic ISSN: 2079-7737
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 9
• Issue: 11
• Article Number: 396
• DOI: https://doi.org/10.3390/biology9110396
• Public URL: https://nottingham-repository.worktribe.com/output/5039985
• Publisher URL: https://www.mdpi.com/2079-7737/9/11/396/htm