Nanoscale HorizonsBiophysicsPeer-reviewed journal article
Three-dimensional single-particle reconstruction by atomic force microscopy allows rapid structural-based validation of recombinant SARS-CoV-2 Spike protein from a single topology image
Liisa LutteriD, David M. Beal, Maria Stanley, Joanne Roobol, Sarah Martin, James D. Budge, Phoebe E. Lee, Emi Nemoto‐Smith, Ian R. BrowniD, Martin J. WarreniD, Christopher Mark SmalesiD, Wei‐Feng XueiD
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 as a rapid structure-based sample quality control method in the recombinant expression and purification of the 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, that 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 that AFM can be linked to structural data derived from methods such as cryo-electron microscopy, resulting in integrative methodologies with new capabilities for structural biology.
- assay: imaging
- research focus: protein structure prediction
- research focus: benchmarking
- approach: microscopy & imaging analysis
- Citations
- 1
- FWCI
- 2.56
- Field percentile
- top 19%
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