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A Generalizable Scaffold-Based Approach for Structure Determination of RNAs by Cryo-EM.

Conner J LangebergJeffrey S Kieft
Published in: bioRxiv : the preprint server for biology (2023)
Single-particle cryo-electron microscopy (cryo-EM) can reveal the structures of large and often dynamic molecules, but smaller biomolecules remain challenging targets due to their intrinsic low signal to noise ratio. Methods to resolve small proteins have been applied but development of similar approaches for small structured RNA elements have lagged. Here, we present a scaffold-based approach that we used to recover maps of sub-25 kDa RNA domains to 4.5 - 5.0 Å. While lacking the detail of true high-resolution maps, these are suitable for model building and preliminary structure determination. We demonstrate this method faithfully recovers the structure of several RNA elements of known structure, and it promises to be generalized to other RNAs without disturbing their native fold. This approach may streamline the sample preparation process and reduce the optimization required for data collection. This first-generation scaffold approach provides a system for RNA structure determination by cryo-EM and lays the groundwork for further scaffold optimization to achieve higher resolution.
Keyphrases
  • high resolution
  • electron microscopy
  • tissue engineering
  • molecularly imprinted
  • solid phase extraction
  • gene expression
  • nucleic acid
  • dna methylation
  • single cell
  • machine learning
  • high speed