Lutter, Liisa, Beal, David M., Stanley, Maria, Roobol, Joanne, Martin, Sarah, Budge, James D., Lee, Phoebe, Nemoto-Smith, Emi, Brown, Ian R., Warren, Martin J., and others. (2026) Three-dimensional single-particle reconstruction by atomic force microscopy imaging and template matching allows rapid structural-based validation of recombinant SARS-CoV-2 Spike protein from a single topology image. Nanoscale Horizons, 11 (10). pp. 2570-2581. ISSN 2055-6756. E-ISSN 2055-6764. (doi:10.1039/d6nh00151c) (KAR id:115980)
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Language: English
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| Official URL: https://doi.org/10.1039/d6nh00151c |
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Abstract
Atomic force microscopy (AFM) is a versatile multi-modal imaging method frequently used for structural characterisation of biological surfaces at the nanoscale. However, AFM-based three-dimensional single-particle reconstruction has hitherto not been possible due to the tip-sample convolution artifact that distorts AFM images of individual molecules, and the disconnect between two-dimensional AFM images of surface deposited molecules and their three-dimensional structures. Here, three-dimensional single-particle analysis was developed for rapid structure-based validation of protein structures using as few as a single AFM topology image, based on contact-point reconstruction AFM (CPR-AFM) in an integrative approach with cryo-electron microscopy maps available in the Electron Microscopy Data Bank by template matching. This approach was demonstrated on the structural validation of recombinant trimeric ectodomain of SARS-CoV-2 Spike glycoprotein to show its immediate utility for rapid structure-based quality-control in the recombinant expression and purification of Spike protein samples that can be used in vaccines and therapeutics research. These results show that three-dimensional single-particle reconstruction by AFM is possible, high signal-to-noise AFM imaging offers a rapid and cost-effective way of validation or identification of three-dimensional protein structures at single-particle level, and AFM linked to cryo-electron microscopy-derived structural data result in integrative methodologies with new capabilities for structural biology.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1039/d6nh00151c |
| Subjects: | Q Science |
| Institutional Unit: | Schools > School of Natural Sciences > Biosciences |
| Former Institutional Unit: |
There are no former institutional units.
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| Funders: |
Biotechnology and Biological Sciences Research Council (https://ror.org/00cwqg982)
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) Wellcome Trust (https://ror.org/029chgv08) |
| Depositing User: | Wei-Feng Xue |
| Date Deposited: | 24 Aug 2026 13:10 UTC |
| Last Modified: | 14 Oct 2026 02:56 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/115980 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-7613-1953
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