Native Mass Spectrometry-Based Screening for Optimal Sample Preparation in Single-Particle Cryo-EM

Cited 16 time in webofscience Cited 11 time in scopus
  • Hit : 403
  • Download : 185
A major bottleneck in single-particle cryo-EM involves sample preparation and assessment of sample stability and homogeneity. Olinares et al. have developed a time-saving native mass spectrometry-based platform that provides rapid feedback on sample quality and enables highly streamlined biochemical screening for optimal sample conditions prior to cryo-EM analysis. © 2020 Elsevier Ltd Recent advances in single-particle cryogenic electron microscopy (cryo-EM) have enabled the structural determination of numerous protein assemblies at high resolution, yielding unprecedented insights into their function. However, despite its extraordinary capabilities, cryo-EM remains time-consuming and resource-intensive. It is therefore beneficial to have a means for rapidly assessing and optimizing the quality of samples prior to lengthy cryo-EM analyses. To do this, we have developed a native mass spectrometry (nMS) platform that provides rapid feedback on sample quality and highly streamlined biochemical screening. Because nMS enables accurate mass analysis of protein complexes, it is well suited to routine evaluation of the composition, integrity, and homogeneity of samples prior to their plunge-freezing on EM grids. We demonstrate the utility of our nMS-based platform for facilitating cryo-EM studies using structural characterizations of exemplar bacterial transcription complexes as well as the replication-transcription assembly from the SARS-CoV-2 virus that is responsible for the COVID-19 pandemic.
Publisher
CELL PRESS
Issue Date
2021-02
Language
English
Article Type
Article
Citation

STRUCTURE, v.29, no.2, pp.186 - 195

ISSN
0969-2126
DOI
10.1016/j.str.2020.11.001
URI
http://hdl.handle.net/10203/281152
Appears in Collection
CH-Journal Papers(저널논문)
Files in This Item
1-s2.0-S0969212620304135-main (1).pdf(2.05 MB)Download
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 16 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0