Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

38 results

Page 1 of 2

  • CryoEM Map-Model Scores: From Average Density to Q-scores

  • Grigore Pintilie, Wah Chiu
  • Journal:
    Microscopy and Microanalysis / Volume 27 / Issue S1 / August 2021
    Published online by Cambridge University Press:
    30 July 2021, pp. 1382-1384
    Print publication:
    August 2021
    • Article
      • You have access
    • PDF
    • Export citation

  • Sub-Ångström-resolution MicroED Using a Direct Detection Camera

  • Benjamin Bammes, Weijiang Zhou, Wah Chiu
  • Journal:
    Microscopy and Microanalysis / Volume 26 / Issue S2 / August 2020
    Published online by Cambridge University Press:
    30 July 2020, pp. 1524-1526
    Print publication:
    August 2020
    • Article
      • You have access
    • PDF
    • Export citation

  • A 3.4-Å cryo-electron microscopy structure of the human coronavirus spike trimer computationally derived from vitrified NL63 virus particles

  • Kaiming Zhang, Shanshan Li, Grigore Pintilie, David Chmielewski, Michael F. Schmid, Graham Simmons, Jing Jin, Wah Chiu
  • Journal:
    QRB Discovery / Volume 1 / 2020
    Published online by Cambridge University Press:
    17 November 2020, e11
    Print publication:
    2020
    • Article
      • You have access
      • Open access
    • PDF
    • HTML
    • Export citation

  • Human coronavirus NL63 (HCoV-NL63) is an enveloped pathogen of the family Coronaviridae that spreads worldwide and causes up to 10% of all annual respiratory diseases. HCoV-NL63 is typically associated with mild upper respiratory symptoms in children, elderly and immunocompromised individuals. It has also been shown to cause severe lower respiratory illness. NL63 shares ACE2 as a receptor for viral entry with SARS-CoV-1 and SARS-CoV-2. Here, we present the in situ structure of HCoV-NL63 spike (S) trimer at 3.4-Å resolution by single-particle cryo-EM imaging of vitrified virions without chemical fixative. It is structurally homologous to that obtained previously from the biochemically purified ectodomain of HCoV-NL63 S trimer, which displays a three-fold symmetric trimer in a single conformation. In addition to previously proposed and observed glycosylation sites, our map shows density at other sites, as well as different glycan structures. The domain arrangement within a protomer is strikingly different from that of the SARS-CoV-2 S and may explain their different requirements for activating binding to the receptor. This structure provides the basis for future studies of spike proteins with receptors, antibodies or drugs, in the native state of the coronavirus particles.

  • Cryo-EM Study of Chaperonin Mm-Cpn's Conformational Heterogeneity under Different ATP Conditions

  • Yanyan Zhao, Wah Chiu
  • Journal:
    Microscopy and Microanalysis / Volume 25 / Issue S2 / August 2019
    Published online by Cambridge University Press:
    05 August 2019, pp. 1006-1007
    Print publication:
    August 2019
    • Article
      • You have access
    • PDF
    • Export citation

  • Stanford-SLAC Cryo-EM Center (S2C2)

  • Wah Chiu, Yee Ting Li, David Bushnell, Michael F. Schmid, Georgios Skiniotis, Britt Hedman
  • Journal:
    Microscopy and Microanalysis / Volume 25 / Issue S2 / August 2019
    Published online by Cambridge University Press:
    05 August 2019, pp. 2658-2659
    Print publication:
    August 2019
    • Article
      • You have access
    • PDF
    • Export citation

  • Quantifying Variability of Manual Annotation in Cryo-Electron Tomograms

  • Corey W. Hecksel, Michele C. Darrow, Wei Dai, Jesús G. Galaz-Montoya, Jessica A. Chin, Patrick G. Mitchell, Shurui Chen, Jemba Jakana, Michael F. Schmid, Wah Chiu
  • Journal:
    Microscopy and Microanalysis / Volume 22 / Issue 3 / June 2016
    Published online by Cambridge University Press:
    26 May 2016, pp. 487-496
    Print publication:
    June 2016

  • Although acknowledged to be variable and subjective, manual annotation of cryo-electron tomography data is commonly used to answer structural questions and to create a “ground truth” for evaluation of automated segmentation algorithms. Validation of such annotation is lacking, but is critical for understanding the reproducibility of manual annotations. Here, we used voxel-based similarity scores for a variety of specimens, ranging in complexity and segmented by several annotators, to quantify the variation among their annotations. In addition, we have identified procedures for merging annotations to reduce variability, thereby increasing the reliability of manual annotation. Based on our analyses, we find that it is necessary to combine multiple manual annotations to increase the confidence level for answering structural questions. We also make recommendations to guide algorithm development for automated annotation of features of interest.

Page 1 of 2