Application of Monolayer Graphene to Cryo-Electron Microscopy Grids for High-resolution Structure Determination.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
10 Nov 2023
Historique:
medline: 29 11 2023
pubmed: 27 11 2023
entrez: 27 11 2023
Statut: epublish

Résumé

In cryogenic electron microscopy (cryoEM), purified macromolecules are applied to a grid bearing a holey carbon foil; the molecules are then blotted to remove excess liquid and rapidly frozen in a roughly 20-100 nm thick layer of vitreous ice, suspended across roughly 1 µm wide foil holes. The resulting sample is imaged using cryogenic transmission electron microscopy, and after image processing using suitable software, near-atomic resolution structures can be determined. Despite cryoEM's widespread adoption, sample preparation remains a severe bottleneck in cryoEM workflows, with users often encountering challenges related to samples behaving poorly in the suspended vitreous ice. Recently, methods have been developed to modify cryoEM grids with a single continuous layer of graphene, which acts as a support surface that often increases particle density in the imaged area and can reduce interactions between particles and the air-water interface. Here, we provide detailed protocols for the application of graphene to cryoEM grids and for rapidly assessing the relative hydrophilicity of the resulting grids. Additionally, we describe an EM-based method to confirm the presence of graphene by visualizing its characteristic diffraction pattern. Finally, we demonstrate the utility of these graphene supports by rapidly reconstructing a 2.7 Å resolution density map of a Cas9 complex using a pure sample at a relatively low concentration.

Identifiants

pubmed: 38009744
doi: 10.3791/66023
doi:

Substances chimiques

Graphite 7782-42-5
Ice 0

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Commentaires et corrections

Type : UpdateOf

Auteurs

Andrew V Grassetti (AV)

Department of Biology, Massachusetts Institute of Technology.

Mira B May (MB)

Department of Biology, Massachusetts Institute of Technology.

Joseph H Davis (JH)

Department of Biology, Massachusetts Institute of Technology; Program in Computational and Systems Biology, Massachusetts Institute of Technology; jhdavis@mit.edu.

Articles similaires

Photosynthesis Ribulose-Bisphosphate Carboxylase Carbon Dioxide Molecular Dynamics Simulation Cyanobacteria
Animals Dogs Dog Diseases Autophagy Immunohistochemistry
Cryoelectron Microscopy Algorithms Image Processing, Computer-Assisted Consensus Software

Classifications MeSH