» Articles » PMID: 35911962

Developing Graphene Grids for Cryoelectron Microscopy

Overview
Specialty Biology
Date 2022 Aug 1
PMID 35911962
Authors
Affiliations
Soon will be listed here.
Abstract

Cryogenic electron microscopy (cryo-EM) single particle analysis has become one of the major techniques used to study high-resolution 3D structures of biological macromolecules. Specimens are generally prepared in a thin layer of vitrified ice using a holey carbon grid. However, the sample quality using this type of grid is not always ideal for high-resolution imaging even when the specimens in the test tube behave ideally. Various problems occur during a vitrification procedure, including poor/nonuniform distribution of particles, preferred orientation of particles, specimen denaturation/degradation, high background from thick ice, and beam-induced motion, which have become important bottlenecks in high-resolution structural studies using cryo-EM in many projects. In recent years, grids with support films made of graphene and its derivatives have been developed to efficiently solve these problems. Here, the various advantages of graphene grids over conventional holey carbon film grids, functionalization of graphene support films, production methods of graphene grids, and origins of pristine graphene contamination are reviewed and discussed.

Citing Articles

Overcoming the preferred-orientation problem in cryo-EM with self-supervised deep learning.

Liu Y, Fan H, Hu J, Zhou Z Nat Methods. 2024; 22(1):113-123.

PMID: 39558095 DOI: 10.1038/s41592-024-02505-1.


Correction of preferred orientation-induced distortion in cryo-electron microscopy maps.

Zhu D, Cao W, Li J, Wu C, Cao D, Zhang X Sci Adv. 2024; 10(30):eadn0092.

PMID: 39058771 PMC: 11892697. DOI: 10.1126/sciadv.adn0092.


Overcoming the preferred orientation problem in cryoEM with self-supervised deep-learning.

Liu Y, Fan H, Hu J, Zhou Z bioRxiv. 2024; .

PMID: 38645074 PMC: 11030451. DOI: 10.1101/2024.04.11.588921.


Cryo-electron microscopy-based drug design.

Cebi E, Lee J, Subramani V, Bak N, Oh C, Kim K Front Mol Biosci. 2024; 11:1342179.

PMID: 38501110 PMC: 10945328. DOI: 10.3389/fmolb.2024.1342179.


Fabrication of Monolayer Graphene-Coated Grids for Cryoelectron Microscopy.

Basanta B, Chen W, Pride D, Lander G J Vis Exp. 2023; (199).

PMID: 37747197 PMC: 11141527. DOI: 10.3791/65702.


References
1.
Nguyen T, Galej W, Bai X, Savva C, Newman A, Scheres S . The architecture of the spliceosomal U4/U6.U5 tri-snRNP. Nature. 2015; 523(7558):47-52. PMC: 4536768. DOI: 10.1038/nature14548. View

2.
Drulyte I, Johnson R, Hesketh E, Hurdiss D, Scarff C, Porav S . Approaches to altering particle distributions in cryo-electron microscopy sample preparation. Acta Crystallogr D Struct Biol. 2018; 74(Pt 6):560-571. PMC: 6096488. DOI: 10.1107/S2059798318006496. View

3.
Novoselov K, Geim A, Morozov S, Jiang D, Zhang Y, Dubonos S . Electric field effect in atomically thin carbon films. Science. 2004; 306(5696):666-9. DOI: 10.1126/science.1102896. View

4.
Novoselov K, Falko V, Colombo L, Gellert P, Schwab M, Kim K . A roadmap for graphene. Nature. 2012; 490(7419):192-200. DOI: 10.1038/nature11458. View

5.
Lyumkis D . Challenges and opportunities in cryo-EM single-particle analysis. J Biol Chem. 2019; 294(13):5181-5197. PMC: 6442032. DOI: 10.1074/jbc.REV118.005602. View