The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Primer to Single-Particle Cryo-Electron Microscopy
Open accessAbstract
Summary Cryo-electron microscopy (cryo-EM) of single-particle specimens is used to determine the structure of proteins and macromolecular complexes without the need for crystals. Recent advances in detector technology and software algorithms now allow images of unprecedented quality to be recorded and structures to be determined at near-atomic resolution. However, compared with X-ray crystallography, cryo-EM is a young technique with distinct challenges. This primer explains the different steps and considerations involved in structure determination by single-particle cryo-EM to provide an overview for scientists wishing to understand more about this technique and the interpretation of data obtained with it, as well as a starting guide for new practitioners.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
Scheres, S. H. W. (2012) · Journal of Structural Biology · doi:10.1016/j.jsb.2012.09.006 · Cited by 5,446
Rosenthal, P. B., & Henderson, R. (2003) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.07.013 · Cited by 2,416
Cited by
Opportunities and obstacles for deep learning in biology and medicine
Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0387 · Cited by 2,310
Super-resolution microscopy with DNA-PAINT
Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F., & Jungmann, R. (2017) · Nature Protocols · doi:10.1038/nprot.2017.024 · Cited by 1,047
Learning the protein language: Evolution, structure, and function
Bepler, T., & Berger, B. (2021) · Cell Systems · doi:10.1016/j.cels.2021.05.017 · Cited by 483
Imaging proteins at the single-molecule level
Longchamp, J.-N., Rauschenbach, S., Abb, S., Escher, C., Latychevskaia, T., Kern, K., & Fink, H.-W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614519114 · Cited by 119
Fusion protein strategies for cryo-EM study of G protein-coupled receptors
Zhang, K., Wu, H., Hoppe, N., Manglik, A., & Cheng, Y. (2022) · Nature Communications · doi:10.1038/s41467-022-32125-2 · Cited by 91
Self-citationVisualization of the HIV-1 Env glycan shield across scales
Berndsen, Z. T., Chakraborty, S., Wang, X., Cottrell, C. A., Torres, J. L., Diedrich, J. K., López, C. A., Yates, J. R., van Gils, M. J., Paulson, J. C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2000260117 · Cited by 86
Integrative Structural Biology in the Era of Accurate Structure Prediction
Masrati, G., Landau, M., Ben-Tal, N., Lupas, A., Kosloff, M., & Kosinski, J. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167127 · Cited by 53
Structural organization of the C1a-e-c supercomplex within the ciliary central apparatus
Fu, G., Zhao, L., Dymek, E., Hou, Y., Song, K., Phan, N., Shang, Z., Smith, E. F., Witman, G. B., & Nicastro, D. (2019) · Journal of Cell Biology · doi:10.1083/jcb.201906006 · Cited by 48
Giri, N., Wang, L., & Cheng, J. (2024) · Scientific Data · doi:10.1038/s41597-024-03299-9 · Cited by 17
Metadata
- Authors
- Cheng, Y., Grigorieff, N., Penczek, P. A., & Walz, T.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 161
- Issue
- 3
- Pages
- 438-449
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2001923477
- Cited by
- 570
- References
- 2
- FWCI
- 27.52
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
