Evidence map›Paper›PMID 30496818›Full record

ArticleJournal of structural biology2019

goCTF: Geometrically optimized CTF determination for single-particle cryo-EM.

Min Su

Abstract read
In one paragraph

Article in Journal of structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  11. Computational methods forFrontiers in cellular and infection microbiology · 2023
    Review
  12. Article
  13. Review
  14. High-resolution structure determination using high-throughput electron cryo-tomography.Acta crystallographica. Section D, Structural biology · 2022
    Review
  15. Article
  16. Structural insights into the activation of autoinhibited human lipid flippase ATP8B1 upon substrate binding.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Min SuUniversity of Michigan Life Sciences Institute, Ann Arbor 48109, USA. Electronic address: minsu@umich.edu.

Funding

Silicon Mechanics Compute ClusterS10OD020011 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SKINIOTIS, GEORGIOS · 2015 to 2015
$490k
NIH HHS S10 OD020011
6 · The paper itself

Abstract

Preferred particle orientation represents a recurring problem in single-particle cryogenic electron microcopy (cryo-EM). A specimen-independent approach through tilting has been attempted to increase particle orientation coverage, thus minimizing anisotropic three-dimensional (3D) reconstruction. However, focus gradient is a critical issue hindering tilt applications from being a general practice in single-particle cryo-EM. The present study describes a newly developed geometrically optimized approach, goCTF, to reliably determine the global focus gradient. A novel strategy of determining contrast transfer function (CTF) parameters from a sector of the signal preserved power spectrum is applied to increase reliability. Subsequently, per-particle based local focus refinement is conducted in an iterative manner to further improve the defocus accuracy. Novel diagnosis methods using a standard deviation defocus plot and goodness of fit heatmap have also been proposed to evaluate CTF fitting quality prior to 3D refinement. In a benchmark study, goCTF processed a published single-particle cryo-EM dataset for influenza hemagglutinin trimer collected at a 40-degree specimen tilt. The resulting 3D reconstruction map was improved from 4.1 Å to 3.7 Å resolution. The goCTF program is built on the open-source code of CTFFIND4, which adopts a consistent user interface for ease of use.

Indexed as

AnisotropyCryoelectron MicroscopyDatasets as TopicHemagglutinin Glycoproteins, Influenza VirusHumansImaging, Three-DimensionalSoftwareHemagglutinin Glycoproteins, Influenza Virushemagglutinin, human influenza A virusContrast transfer functionCryo-electron microscopyFocus gradientLocal focus refinement

Identifiers

PMID30496818
PMCPMC6692911

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.