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Method Article
This protocol presents a practical method using Methanocaldococcus jannaschii (MjsHSP16.5) as an example to address uneven particle distribution through sample preparation optimization, providing a reference for researchers to efficiently elucidate macromolecular structures using cryogenic electron microscopy (cryo-EM).
Cryogenic electron microscopy (cryo-EM) has revolutionized structural biology by enabling the study of macromolecular structures in near-native conditions, suspended in vitreous ice. This technique allows for the high-resolution visualization of proteins and other biomolecules without the need for crystallization, offering significant insights into their function and mechanism. Recent advancements in single-particle analysis, coupled with improved computational data processing, have made cryo-EM an indispensable tool in modern structural biology. Despite its growing adoption, cryo-EM faces persistent challenges that can limit its effectiveness, particularly uneven particle distribution. This issue often leads to poor resolution and reduced accuracy in reconstructed protein structures. This article outlines a simple, practical approach to address this challenge, using the small heat-shock protein from Methanocaldococcus jannaschii (MjsHSP16.5) as an example. The method optimizes sample preparation to minimize preferential adsorption, ensuring more homogeneous particle distribution and higher-quality protein cryo-EM structures. This technique offers valuable guidance for researchers aiming to overcome similar challenges in structural studies.
With recent advancements in both instrument hardware1,2 and image processing software3,4,5, cryogenic electron microscopy (cryo-EM) has emerged as a popular and powerful tool in modern structural biology. Despite these breakthroughs, bottlenecks persist in achieving high-resolution macromolecular structures using cryo-EM. One such significant challenge is the uneven particle distribution, including the orientation preference phenomenon, which is predominantly observed at the air-water interface6,7,8,9.
During sample vitrification, some molecules exhibit a tendency to align themselves along specific axes on the grid. This leads to an uneven distribution of particle views in the final dataset. Certain orientations may be overrepresented while others are underrepresented or completely absent, resulting in incomplete sampling of the total protein architecture. Regions of the protein that are preferentially oriented towards the electron beam will appear more prominent in the density map, while regions oriented away from the beam may be poorly resolved or completely missing10,11. Consequently, uneven particle distribution introduces potential biases and artifacts into the final reconstructed three-dimensional (3D) structure. Notably, key structural elements such as alpha helices and beta sheets may become skewed, amino acid or nucleotide chains may appear fragmented, and densities of specific protein or nucleic acid segments may exhibit distortion12. Ultimately, these misrepresentations pose a major challenge to accurately unraveling the structure and function of biological molecules.
Various experimental approaches are currently used to overcome such challenges, including sample preparation optimization13,14,15, grid treatment16,17,18,19,20,21,22, and data collection strategy23. Notably, it is advised to address the challenge at the sample preparation stage whenever feasible7. Common optimizations in sample preparation include modifying buffer composition, introducing small-molecular or macromolecular binding partners, generating intramolecular crosslinks, and varying detergents. This is also true for membrane proteins24,25, although detergents must be used specifically for purification and stabilization purposes. Among these, the customizability, cost-effectiveness, and widespread accessibility of protein buffer optimization make it a preferred strategy in most laboratories. This approach allows precise and immediate adjustments of the various parameters to match the specific requirement of each protein sample. Through iterative refinement, researchers can systematically test diverse buffer conditions and adjust various parameters aimed at minimizing preferred orientations and improving the overall quality of cryo-EM data. Simply varying protein buffer components and adjusting their concentrations has demonstrated efficacy in influencing protein stability by modulating surface charge, consequently impacting protein behavior within vitreous ice25. Therefore, optimizing protein buffer composition is considered one of the most convenient and straightforward approaches for addressing common challenges in cryo-EM.
Here, a protocol is suggested for addressing a common obstacle in cryo-EM—overcoming uneven particle distribution. In this protocol, key procedures for protein preparation and buffer screening, complemented by grid preparation, are outlined using a small heat shock protein from Methanocaldococcus jannaschii (MjsHSP16.5)26 as a case study (Figure 1). This sHSP is natively stable, has a molecular mass of 16.5 kDa per monomer, and assembles into a 24-mer octahedral cage26,27, making it an attractive candidate for structural analysis by cryo-EM. However, the observation of an uneven particle distribution during cryo-EM data collection was not anticipated, and it emerged as a significant challenge during the experiments. Furthermore, potential approaches beneficial for researchers tackling similar challenges are discussed, thus facilitating the efficient elucidation of macromolecular structures using cryo-EM.
The details of the reagents and the equipment used in this study are listed in the Table of Materials.
1. Protein purification
2. Protein preparation for transmission electron microscopy (TEM) imaging
3. Buffer exchange
4. Grid preparation
5. Negative stain grid preparation
6. Sample vitrification
7. Loading the grids to TEM
To identify optimal grid conditions for MjsHSP16.5, an initial cryo-EM screening was conducted, primarily focusing on examining various protein buffer conditions: (1) the final purification buffer, which ensures the stability and homogeneity of MjsHSP16.5 and is important for its crystallization30; (2) buffers adapted from conditions necessary for the growth of high-diffraction-quality MjsHSP16.5 crystals30; and (3) buffers previously employed in electron microscopy (EM) st...
All protein structural studies begin with protein purification, an iterative process to achieve a balance between isolating protein targets with high purity and homogeneity while preserving their native functionality. Even though the buffer compositions to purify and preserve protein samples are carefully selected during the purification process, these buffers frequently pose challenges during subsequent cryo-EM sample preparation and imaging6. This problem arises from a mismatch between the buffe...
The authors have nothing to disclose.
We thank the Cooperative Center for Research Facilities (CCRF) (Sungkyunkwan University, Korea) for generously granting us access to their cryo-EM facility. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) to K.K.K. (No. 2021M3A9I4022936). Use of cryo-EM facilities of NEXUS consortium was supported by a National Research Foundation of Korea grant RS-2024-00440289.
Name | Company | Catalog Number | Comments |
14-mL Round Bottom Tube | SPL Life Sciences | 40114 | |
250 µL Gastight Syringe Model 1725 LTN | Hamilton | 81100 | Cemented Needle, 22s gauge, 2 in, point style 2 |
50 µL Dialysis Button | Hampton Research | HR3-326 | |
50-mL Glass Beaker | DIAMOND | HA.1010D.50 | |
ÄKTA pure 25 L | Cytiva | 29018224 | FPLC |
Amicon Ultra-15 Centrifugal Filter Unit | Millipore | UFC905024 | 50-KDa NMWL |
Bradford Reagent | Supelco | B6916 | |
Dumoxel Style N5 | Dumont | 0103-N5-PO | |
Glacios 2 Cryo-TEM | ThermoFisher Scientific | GLACIOSTEM | |
HiLoad 16/600 Superdex 200 pg | Cytiva | 28989335 | |
Micro Centrifuge Tube 1.5 mL | HD Micro | H23015 | |
PCR Tubes 0.2 mL, flat cap | Axygen | PCR-02-C | |
PELCO easiGlow Glow Discharge unit | Ted Pella | 91000 | |
PELCO TEM grid holder block | Ted Pella | 16820-25 | |
Quantifoil R 1.2/1.3 200 Mesh, Cu | Electron Microscopy Sciences | Q2100CR1.3 | |
Spectra/Por 3 RC Dialysis Membrane Tubing | Fisher Scientific | 086705B | 3500 Dalton MWCO |
Superose 6 Increase 10/300 GL | Cytiva | 29091596 | |
Uranyl acetate | Merck | 8473 | |
Vitrobot Mark IV | ThermoFisher Scientific | VITROBOT | |
VitroEase Buffer Screening Kit and Detergents | ThermoFisher Scientific | A49856 |
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