A subscription to JoVE is required to view this content. Sign in or start your free trial.

Summary

The application of support layers to cryogenic electron microscopy (cryoEM) grids can increase particle density, limit interactions with the air-water interface, reduce beam-induced motion, and improve the distribution of particle orientations. This paper describes a robust protocol for coating cryoEM grids with a monolayer of graphene for improved cryo-sample preparation.

Abstract

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.

Introduction

Single particle cryogenic electron microscopy (cryoEM) has evolved into a widely used method for visualizing biological macromolecules1. Fueled by advances in direct electron detection2,3,4, data acquisition5, and image processing algorithms6,7,8,9,10, cryoEM is now capable of producing near-atomic resolution 3D structures of a fast-growing number of macromolecules11. Moreover, by leveraging the single-molecule nature of the approach, users can determine multiple structures from a single sample12,13,14,15, highlighting the promise of using the data generated to understand heterogeneous structural ensembles16,17. Despite this progress, bottlenecks in cryo-specimen grid preparation persist.

For structural characterization by cryoEM, biological samples should be well-dispersed in aqueous solution and then must be flash-frozen through a process called vitrification18,19. The goal is to capture particles in a uniformly thin layer of vitrified ice suspended across regularly spaced holes that are typically cut into a layer of amorphous carbon. This patterned amorphous carbon foil is supported by a TEM grid bearing a mesh of copper or gold support bars. In standard workflows, grids are rendered hydrophilic using a glow-discharge plasma treatment prior to the application of sample. Excess liquid is blotted with filter paper, allowing the protein solution to form a thin liquid film across the holes that can be readily vitrified during plunge-freezing. Common challenges include particle localization to the air-water interface (AWI) and subsequent denaturation20,21,22 or adoption of preferred orientations23,24,25, particle adherence to the carbon foil rather than migrating into the holes, and clustering and aggregation of the particles within the holes26. Nonuniform ice thickness is another concern; thick ice can result in higher levels of background noise in the micrographs due to increased electron scattering, whereas extremely thin ice can exclude larger particles27.

To address these challenges, a variety of thin support films have been used to coat grid surfaces, allowing particles to rest on these supports and, ideally, avoid interactions with the air-water interface. Graphene supports have shown great promise, in part due to their high mechanical strength coupled with their minimal scattering cross-section, which reduces the background signal added by the support layer28. In addition to its minimal contribution to background noise, graphene also exhibits remarkable electrical and thermal conductivity29. Graphene and graphene oxide coated grids have been shown to yield higher particle density, more uniform particle distribution30, and reduced localization to the AWI22. In addition, graphene provides a support surface that can be further modified to: 1) tune the physiochemical properties of the grid surface through functionalization31,32,33; or 2) couple linking agents that facilitate affinity purification of proteins of interest34,35,36.

In this article, we have modified an existing procedure for coating cryoEM grids with a single uniform layer of graphene30. The modifications aim to minimize grid handling throughout the protocol, with the goal of increasing yield and reproducibility. Additionally, we discuss our approach to evaluate the efficacy of various UV/ozone treatments in rendering grids hydrophilic prior to plunging. This step in cryoEM sample preparation using graphene-coated grids is critical, and we have found our straightforward method to quantify the relative hydrophilicity of the resulting grids to be useful. Using this protocol, we demonstrate the utility of employing graphene-coated grids for structure determination by generating a high-resolution 3D reconstruction of catalytically inactive S. pyogenes Cas9 in complex with guide RNA and target DNA.

Protocol

1. Preparation of CVD graphene

  1. Prepare graphene etching solution as described below.
    1. Dissolve 4.6 g ammonium persulfate (APS) in 20 mL of molecular grade water in a 50 mL beaker for a 1 M solution and cover with aluminum foil. Allow APS to completely dissolve while proceeding to step 1.2.
  2. Prepare a section of CVD graphene for methyl methacrylate (MMA) coating. Carefully cut a square section of CVD graphene. Transfer the square to a coverslip (50 mm x 24 mm) within a clean Petri dish and cover during transport to the spin coater.
    ​NOTE: An 18 mm x 18 mm square should yield 25-36 graphene-coated grids.

2. Coating CVD graphene with MMA

  1. Set the spin coater settings to a 60 s high speed spin at 2,500 rpm. Carefully place the CVD graphene on the appropriately sized chuck.
    ​NOTE: Ideally, the CVD graphene will extend 1-2 mm over the edge of the selected chuck to prevent aspiration of MMA into the vacuum system.
  2. Press the Take/Absorb button to engage the vacuum pump and affix the CVD graphene to the chuck. Apply MMA to the center of CVD graphene square, close lid, and press Start/Stop button immediately. For an 18 mm x 18 mm square of CVD graphene, 40 µL of MMA is sufficient.
  3. Once spinning has stopped, disengage the vacuum pump and carefully retrieve the MMA coated CVD graphene with tweezers. Invert the CVD graphene such that the MMA coated side is facing down and place it back on the glass coverslip.

3. Plasma etching of the graphene back-side

  1. Transfer CVD graphene on the coverslip into the glow discharger and glow discharge for 30 s at 25 mA using flat-tip tweezers.
  2. Return the CVD graphene on the coverslip to the Petri dish and cover during transport to the copper etching area. MMA coating will protect the topside graphene layer from plasma etching.

4. Cutting grid-sized MMA coated CVD graphene squares

  1. Use two pairs of tweezers to support the CVD graphene square. Take note of the orientation of the CVD graphene square, keep the MMA side up while attached to the tweezers (CRITICAL).
  2. Cut CVD graphene into approximately 3 mm x 3 mm squares. Use two sets of reverse-action forceps for this step to hold the CVD graphene square right-side-up and anchor it in position, and also to hold the edge of a 3 mm x 3 mm square after cutting it away from the rest of the square.

5. Dissolving copper substrate from MMA coated CVD graphene

  1. Carefully float each 3 mm x 3 mm square in the APS solution. Make contact with the surface of the APS solution prior to releasing each square. Tilt the beaker such that each square can be placed in the solution at a shallow angle; this ensures that the square does not sink.
  2. Cover beaker with aluminum foil and incubate overnight at 25 °C.

6. Removing MMA/graphene films from APS

  1. Use a glass coverslip with dimensions 12 mm x 50 mm and extract the MMA/graphene squares from APS by gently plunging the coverslip vertically into the APS and then moving the coverslip laterally such that it abuts a floating MMA/graphene square.
  2. Carefully remove the coverslip and ensure that the square adheres completely to the side of the coverslip upon removal.
  3. Transfer MMA/graphene squares to a clean 50 mL beaker filled with molecular grade water for 20 min. Gently plunge the coverslip with an MMA/graphene square attached into the water vertically and ensure that the square dislodges from the coverslip upon interaction with the surface of the water. Repeat for all MMA/graphene squares.

7. Adhering graphene to grids

  1. Using negative action tweezers, gently dip a grid vertically into the water with the carbon side facing a floating MMA/graphene square. Once in contact with the square, carefully remove the grid and ensure that the square adheres completely to the carbon side of the grid upon removal. Minimize lateral movement of the grid when submerged in water to prevent damaging grid squares (CRITICAL).
  2. Place grids on a clean coverslip MMA/graphene side up and air dry for 1 to 2 min. Transfer coverslip graphene/MMA coated grids to a hot plate set to 130 °C using flat-tip tweezers.
  3. Cover with the top of a glass Petri dish and incubate for 20 min. Remove from heat and cool to room temperature for 1 to 2 min.
    ​CAUTION: Exercise caution as the Petri dish top will be extremely hot.

8. Dissolving MMA with acetone

  1. Transfer entire coverslip into a Petri dish filled with 15 mL of acetone. Incubate for 30 min.
  2. Using a clean glass serological pipette, transfer acetone, in which the grids were incubated, to a waste container. Carefully add 15 mL of fresh acetone to the Petri dish using a clean glass serological pipette. Incubate for 30 min.
  3. Repeat these wash steps for a total of 3 acetone washes.

9. Removing residual acetone with isopropanol

  1. Following 3 acetone washes, remove acetone and replace with 15 mL of isopropanol using a clean glass serological pipette. Incubate for 20 min.
  2. Repeat 3x for a total of 4 isopropanol washes. Carefully remove grids from isopropanol and air dry on a clean coverslip using tweezers.
    NOTE: Residual isopropanol can make it difficult to release grids from tweezers. Making contact between the grid and the clean coverslip prior to releasing the grid from the tweezers can alleviate this problem.
  3. Evaporate residual organics by transferring the coverslip with graphene-coated grids onto a hotplate set to 100 °C for 10 min. Cool to room temperature and store under vacuum until use.

10. UV/ozone treatment of graphene-coated grids

  1. Using reverse-action tweezers, gently place grids into a clean illumination area of a UV/ozone cleaner with the graphene-coated side facing up.
  2. Slide the illumination area closed and turn the machine ON. Turn the time dial to the designated treatment time to begin UV/ozone treating the grids..
    NOTE: Treatment duration is a tunable parameter, with excess treatment having the potential to damage the grid. Han et al.30 recommends 10 min of UV/ozone treatment, and we have also found a 10 min treatment to suffice. See step 12 for guidance on tuning this treatment time.
  3. Proceed directly to plunging a cryoEM sample on the treated grids by following plunging steps as described in Koh et al.37.
    NOTE: Atmospheric hydrocarbons can accumulate on the grid surface after UV/ozone treatment and increase the hydrophobicity of the graphene surface38,39. To avoid this, plunge the UV/ozone treated grids immediately. It may be advantageous to UV/ozone treat grids in batches, for example, UV/ozone treating six grids and immediately plunging those six grids, then UV/ozone treating a second batch of grids, followed by plunging the second batch.

11. Capturing a diffraction image

  1. Ensure that the microscope is well tuned with parallel illumination established and set final defocus to -0.2 µm.
  2. Insert the fluorescent screen and the beam stop fully. Enter diffraction mode to clearly visualize diffraction spots.
  3. Acquire an image using a CCD camera and evaluate it using image analysis software.
    NOTE: The most easily observed and identifiable diffraction spots generated by a graphene monolayer are 6 spots corresponding to a spatial frequency of 2.13 Å. Use a measurement tool to estimate the distance from the center of the diffracted beam to one of these diffraction spots in reciprocal units. Notably 2.13 Å figure-protocol-8386 0.47 Å-1.

12. Assessing grid hydrophilicity

  1. Prepare the imaging setup. Locate a phone stand, tabletop imaging surface, phone with camera, glass coverslip, and paraffin film. Images shown here were obtained using a phone stand and tabletop imaging surface that were 3D printed using the provided .stl files, resulting in more easily reproducible and quantifiable contact angle measurements (Supplementary Figure 1A).
  2. Lay a glass coverslip onto the flat surface, then cut a 1 cm by 1 cm square of paraffin film and place it onto the glass coverslip. Place phone on the phone stand, orienting the phone such that the camera is in-plane with the glass coverslip. Secure phone in this position using rubber bands (Supplementary Figure 1B). Take a sample photo to verify that the camera is aligned with the imaging surface.
  3. Directly after UV/ozone treatment of graphene-coated grids, place a single grid onto the square of paraffin film on the glass coverslip. Ensure the graphene side is facing upwards. Add a 2 µL water droplet onto the center of the grid surface with a pipette and immediately take a photo.
    NOTE: Repeat this step after: i) desired intervals of UV/ozone treatment to determine a sufficient length of treatment; or ii) desired time intervals post UV/ozone treatment to measure how long after treatment the grid surface maintains its hydrophilic character.
  4. Calculate contact angles from photos by importing them into ImageJ43 and using the contact angle plugin.

13. Single particle analysis of the dCas9 complex dataset

NOTE: All image processing described in this protocol was performed using cryoSPARC version 4.2.1.

  1. Preprocess movies using Patch Motion Correction and Patch CTF Estimation jobs. Perform particle picking using the Blob picker job, using a spherical blob ranging in diameter from 115 Å to 135 Å.
  2. Extract particles using the Extract from micrographs job, using normalized correlation coefficient (NCC) and power thresholds resulting in approximately 200-300 particles per micrograph. Note that appropriate thresholds and resulting particle count may vary, and users should inspect pick quality across a range of micrographs to identify suitable conditions.
  3. Perform multiclass initial reconstructions using the Ab-initio reconstruction job, requiring three classes. Two of the three classes will likely contain non-Cas9 particles, including surface contaminants. Select the class resembling dCas9 for further processing.
    NOTE: Additional rounds of multiclass Ab-initio reconstruction or Heterogeneous refinement may be applied to further refine the particle stack.
  4. Perform 3D refinement using the Non-uniform Refinement job selecting default parameters. Estimate resolution of the reconstruction using the Validation (FSC), and ThreeDFSC jobs, employing the maps and mask from the final 3D refinement.

Results

Successful fabrication of graphene-coated cryoEM grids using the equipment (Figure 1) and protocol (Figure 2) outlined here will result in a monolayer of graphene covering the foil holes that can be confirmed by its characteristic diffraction pattern. To promote protein adsorption to the graphene surface, UV/ozone treatment can be used to render the surface hydrophilic by installing oxygen-containing functional groups. However, hydrocarbon contaminants in the ai...

Discussion

CryoEM sample preparation involves a host of technical challenges, with most workflows requiring researchers to manually manipulate fragile grids with extreme care to avoid damaging them. Additionally, the amenability of any sample to vitrification is unpredictable; particles often interact with the air-water-interface or with the solid support foil overlaying the grids, which can lead to particles adopting preferred orientations or failing to enter the imaging holes unless very high protein concentrations are applied

Disclosures

The authors have no conflicts to disclose.

Acknowledgements

Specimens were prepared and imaged at the CryoEM Facility in MIT.nano on microscopes acquired thanks to the Arnold and Mabel Beckman Foundation. Contact angle imaging devices were printed at the MIT Metropolis Maker Space. We thank the laboratories of Nieng Yan and Yimo Han, and staff at MIT.nano for their support throughout the adoption of this method. In particular, we extend our thanks to Drs. Guanhui Gao and Sarah Sterling for their insightful discussions and feedback. This work was supported by NIH grants R01-GM144542, 5T32-GM007287, and NSF-CAREER grant 2046778. Research in the Davis lab is supported by the Alfred P. Sloan Foundation, the James H. Ferry Fund, the MIT J-Clinic, and the Whitehead Family.

Materials

NameCompanyCatalog NumberComments
250 mL beaker (3x)Fisher02-555-25B
50 mL beaker (2x)Corning1000-50
AcetoneFisherA949-4
Aluminum foilFisher15-078-292
Ammonium persulfateFisher(I17874
Coverslips 50 mm x 24 mmMattekPCS-1.5-5024
CVD grapheneGraphene SupermarketCVD-Cu-2x2
easiGlow dischargerTed-Pella91000S
EthanolMillipore-Sigma1.11727
Flat-tip tweezers Fisher50-239-60
Glass cutterGrainger21UE26
Glass petri plate and cover VWR75845-544
Glass serological pipetteFisher13-676-34D
Grid Storage CaseEMS71146-02
Hot plateFisher07-770-108
IsopropanolSigmaW292907
KimwipeFisher06-666
Lab scissors Fisher13-806-2
Methyl-Methacrylate EL-6 KayakuMMA M310006 0500L1GL
Molecular grade waterCorning46-000-CM
Negative action tweezers (2x)Fisher50-242-78
P20 pipetteRainin17014392
P200 pipetteRainin17008652 
ParafilmFisher13-374-12
Pipette tipsRainin30389291
Quantifoil grids with holey carbon EMSQ2100CR1
Spin coater SetCasKW-4Awith chuck SCA-19-23
StraightedgeULINEH-6560
Thermometer Grainger3LRD1
UV/Ozone cleaner BioForceSKU: PC440
Vacuum desiccatorThomas Scientific1159X11
Whatman paperVWR28297-216

References

  1. Chua, E. Y. D., et al. cheaper: Recent advances in cryo-electron microscopy. Annu Rev Biochem. 91, 1-32 (2022).
  2. Bai, X. C., Fernandez, I. S., McMullan, G., Scheres, S. H. Ribosome structures to near-atomic resolution from thirty thousand cryo-EM particles. Elife. 2, 00461 (2013).
  3. Li, X., et al. Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM. Nat Methods. 10 (6), 584-590 (2013).
  4. Campbell, M. G., et al. Movies of ice-embedded particles enhance resolution in electron cryo-microscopy. Structure. 20 (11), 1823-1828 (2012).
  5. Cheng, A., et al. Leginon: New features and applications. Protein Sci. 30 (1), 136-150 (2021).
  6. Scheres, S. H. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J Struct Biol. 180 (3), 519-530 (2012).
  7. Punjani, A., Rubinstein, J. L., Fleet, D. J., Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat Methods. 14 (3), 290-296 (2017).
  8. Tegunov, D., Cramer, P. Real-time cryo-electron microscopy data preprocessing with Warp. Nat Methods. 16 (11), 1146-1152 (2019).
  9. Grant, T., Rohou, A., Grigorieff, N. cisTEM, user-friendly software for single-particle image processing. Elife. 7, 35383 (2018).
  10. Bell, J. M., Chen, M., Baldwin, P. R., Ludtke, S. J. High resolution single particle refinement in EMAN2.1. Methods. 100, 25-34 (2016).
  11. Cheng, Y. Single-particle cryo-EM-How did it get here and where will it go. Science. 361 (6405), 876-880 (2018).
  12. Kinman, L. F., Powell, B., Zhong, E., Berger, B., Davis, J. H. Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN. Nat Protoc. 18 (2), 319-339 (2022).
  13. Zhong, E. D., Bepler, T., Berger, B., Davis, J. H. CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks. Nat Methods. 18 (2), 176-185 (2021).
  14. Chen, M., Ludtke, S. J. Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM. Nat Methods. 18 (8), 930-936 (2021).
  15. Punjani, A., Fleet, D. J. 3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J Struct Biol. 213 (2), 107702 (2021).
  16. Dashti, A., et al. Retrieving functional pathways of biomolecules from single-particle snapshots. Nat Commun. 11 (1), 4734 (2020).
  17. Sun, J., Kinman, L. F., Jahagirdar, D., Ortega, J., Davis, J. H. KsgA facilitates ribosomal small subunit maturation by proofreading a key structural lesion. Nat Struct Mol Biol. , (2023).
  18. Dubochet, J., Chang, J. J., Freeman, R., Lepault, J., McDowall, A. W. Frozen aqueous suspensions. Ultramicroscopy. 10 (1-2), 55-61 (1982).
  19. Dubochet, J. Cryo-EM--the first thirty years. J Microsc. 245 (3), 221-224 (2012).
  20. Glaeser, R. M., et al. Factors that influence the formation and stability of thin, cryo-EM specimens. Biophys J. 110 (4), 749-755 (2016).
  21. Glaeser, R. M. Proteins, interfaces, and cryo-Em grids. Curr Opin Colloid Interface Sci. 34, 1-8 (2018).
  22. D'Imprima, E., et al. Protein denaturation at the air-water interface and how to prevent it. Elife. 8, 42747 (2019).
  23. Tan, Y. Z., et al. Addressing preferred specimen orientation in single-particle cryo-EM through tilting. Nat Methods. 14 (8), 793-796 (2017).
  24. Chen, J., Noble, A. J., Kang, J. Y., Darst, S. A. Eliminating effects of particle adsorption to the air/water interface in single-particle cryo-electron microscopy: Bacterial RNA polymerase and CHAPSO. J Struct Biol X. 1, 100005 (2019).
  25. Noble, A. J., et al. Reducing effects of particle adsorption to the air-water interface in cryo-EM. Nat Methods. 15 (10), 793-795 (2018).
  26. Drulyte, I., et al. Approaches to altering particle distributions in cryo-electron microscopy sample preparation. Acta Crystallogr D Struct Biol. 74, 560-571 (2018).
  27. Neselu, K., et al. Measuring the effects of ice thickness on resolution in single particle cryo-EM. J Struct Biol X. 7, 100085 (2023).
  28. Pantelic, R. S., et al. Graphene: Substrate preparation and introduction. J Struct Biol. 174 (1), 234-238 (2011).
  29. Geim, A. K., Novoselov, K. S. The rise of graphene. Nat Mater. 6 (3), 183-191 (2007).
  30. Han, Y., et al. High-yield monolayer graphene grids for near-atomic resolution cryoelectron microscopy. Proc Natl Acad Sci U S A. 117 (2), 1009-1014 (2020).
  31. Fujita, J., et al. Epoxidized graphene grid for highly efficient high-resolution cryoEM structural analysis. Sci Rep. 13 (1), 2279 (2023).
  32. Lu, Y., et al. Functionalized graphene grids with various charges for single-particle cryo-EM. Nat Commun. 13 (1), 6718 (2022).
  33. Naydenova, K., Peet, M. J., Russo, C. J. Multifunctional graphene supports for electron cryomicroscopy. Proc Natl Acad Sci U S A. 116 (24), 11718-11724 (2019).
  34. Liu, N., et al. Bioactive functionalized monolayer graphene for high-resolution cryo-electron microscopy. J Am Chem Soc. 141 (9), 4016-4025 (2019).
  35. Benjamin, C. J., et al. Selective capture of histidine-tagged proteins from cell lysates using TEM grids modified with NTA-graphene oxide. Sci Rep. 6, 32500 (2016).
  36. Wang, F., et al. General and robust covalently linked graphene oxide affinity grids for high-resolution cryo-EM. Proc Natl Acad Sci U S A. 117 (39), 24269-24273 (2020).
  37. Koh, A., et al. Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope. J Vis Exp. (181), (2022).
  38. Schweizer, P., et al. Mechanical cleaning of graphene using in situ electron microscopy. Nat Commun. 11 (1), 1743 (2020).
  39. Li, Z., et al. Effect of airborne contaminants on the wettability of supported graphene and graphite. Nat Mater. 12 (10), 925-931 (2013).
  40. Jinek, M., et al. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science. 337 (6096), 816-821 (2012).
  41. Zhu, X., et al. Cryo-EM structures reveal coordinated domain motions that govern DNA cleavage by Cas9. Nat Struct Mol Biol. 26 (8), 679-685 (2019).
  42. Croll, T. I. ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps. Acta Crystallogr D Struct Biol. 74, 519-530 (2018).
  43. Schneider, C. A., Rasband, W. S., Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 9 (7), 671-675 (2012).
  44. Prydatko, A. V., Belyaeva, L. A., Jiang, L., Lima, L. M. C., Schneider, G. F. Contact angle measurement of free-standing square-millimeter single-layer graphene. Nat Commun. 9 (1), 4185 (2018).

Reprints and Permissions

Request permission to reuse the text or figures of this JoVE article

Request Permission

This article has been published

Video Coming Soon

We use cookies to enhance your experience on our website.

By continuing to use our website or clicking “Continue”, you are agreeing to accept our cookies.

Learn More