Evidence map›Paper›PMID 22433493›Full record

ArticleJournal of structural biology2012

Automated tracing of filaments in 3D electron tomography reconstructions using Sculptor and Situs.

Mirabela Rusu, Zbigniew Starosolski, Manuel Wahle, Alexander Rigort, Willy Wriggers

Abstract read
In one paragraph

Article in Journal of structural biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Tracing Randomly Oriented Filaments in a Simulated Actin Network Tomogram.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022
    Article
  10. Article
  11. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021
    Article
  12. Tracing Filaments in Simulated 3D Cryo-Electron Tomography Maps Using a Fast Dynamic Programming Algorithm.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Comparing an Atomic Model or Structure to a Corresponding Cryo-electron Microscopy Image at the Central Axis of a Helix.Journal of computational biology : a journal of computational molecular cell biology · 2017
    Article
  19. Article
  20. A Robust Actin Filaments Image Analysis Framework.PLoS computational biology · 2016
    Article
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

5 authors.

Mirabela RusuSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St., Houston, TX 77030, USA.
Zbigniew Starosolski
Manuel Wahle
Alexander Rigort
Willy Wriggers

Funding

Multi-Resolution Docking Methods for Electron MicroscopyR01GM062968 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WRIGGERS, WILLY R · 2001 to 2023
$4.8M
NIGMS NIH HHS R01 GM062968NIGMS NIH HHS R01GM62968
6 · The paper itself

Abstract

The molecular graphics program Sculptor and the command-line suite Situs are software packages for the integration of biophysical data across spatial resolution scales. Herein, we provide an overview of recently developed tools relevant to cryo-electron tomography (cryo-ET), with an emphasis on functionality supported by Situs 2.7.1 and Sculptor 2.1.1. We describe a work flow for automatically segmenting filaments in cryo-ET maps including denoising, local normalization, feature detection, and tracing. Tomograms of cellular actin networks exhibit both cross-linked and bundled filament densities. Such filamentous regions in cryo-ET data sets can then be segmented using a stochastic template-based search, VolTrac. The approach combines a genetic algorithm and a bidirectional expansion with a tabu search strategy to localize and characterize filamentous regions. The automated filament segmentation by VolTrac compares well to a manual one performed by expert users, and it allows an efficient and reproducible analysis of large data sets. The software is free, open source, and can be used on Linux, Macintosh or Windows computers.

Indexed as

AlgorithmsCryoelectron MicroscopyCytoskeletonElectron Microscope TomographyModels, MolecularSoftware

Identifiers

PMID22433493
PMCPMC3440181

What OpenQuestion holds

Textmetadata
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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.