Evidence map›Paper›PMID 35660516›Full record

ArticleJournal of structural biology2022

ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation.

J Jiménez de la Morena, P Conesa, Y C Fonseca, F P de Isidro-Gómez, D Herreros, E Fernández-Giménez, D Strelak, E Moebel, T O Buchholz, F Jug and 20 more

Abstract read
In one paragraph

Article in Journal of structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. CoCryoViS: Collaborative online cryo-electron tomography visualization system.Protein science : a publication of the Protein Society · 2026
    Article
  3. Article
  4. Article
  5. Structural Analysis of Membrane Proteins in Cell-Derived Microvesicles.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Review
  7. Review
  8. Methods to Study Poxvirus Structures by Cryo-EM Imaging Modalities.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Journal of applied crystallography · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

30 authors.

J Jiménez de la MorenaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
P ConesaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
Y C FonsecaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
F P de Isidro-GómezNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
D HerrerosNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
E Fernández-GiménezNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
D StrelakNational Center of Biotechnology (CNB-CSIC), Madrid, Spain; Masaryk University, Brno, Czech Republic.
E MoebelInria Rennes - Bretagne Atlantique, Rennes, France.
T O BuchholzMax Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Germany; Center for Systems Biology Dresden (CSBD), Germany.
F JugMax Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Germany; Fondazione Human Technopole, Milan, Italy.
A Martinez-SanchezUniversity of Oviedo, Department of Computer Sciences, Oviedo, Spain; Health Research Institute of Asturias (ISPA), Oviedo, Spain.
M HarastaniIMPMC-UMR 7590 CNRS, Sorbonne Université, MNHN, Paris, France.
S JonicIMPMC-UMR 7590 CNRS, Sorbonne Université, MNHN, Paris, France.
J J ConesaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
A CuervoNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
P LosanaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
I SánchezNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
M IcetaNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
L Del CanoNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
M GrageraNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
R MeleroNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
G SharovStructural Studies Division, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
D Castaño-DíezBioEM Lab, Biozentrum, University of Basel, Basel, Switzerland.
A KosterUniversity of Leiden, Ultrastructural and Molecular Imaging, Leiden, the Netherlands.
J G PiccirilloNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
J L VilasNational Center of Biotechnology (CNB-CSIC), Madrid, Spain.
J OtónAlba Synchrotron - CELLS (ICTS), Barcelona, Spain.
R MarabiniNational Center of Biotechnology (CNB-CSIC), Madrid, Spain; Superior Polytechnic School. Univ. Autónoma of Madrid. Madrid, Spain.
C O S SorzanoNational Center of Biotechnology (CNB-CSIC), Madrid, Spain. Electronic address: coss@cnb.csic.es.
J M CarazoNational Center of Biotechnology (CNB-CSIC), Madrid, Spain. Electronic address: carazo@cnb.csic.es.

Funding

Medical Research Council MC_U105184326
6 · The paper itself

Abstract

Image processing in cryogenic electron tomography (cryoET) is currently at a similar state as Single Particle Analysis (SPA) in cryogenic electron microscopy (cryoEM) was a few years ago. Its data processing workflows are far from being well defined and the user experience is still not smooth. Moreover, file formats of different software packages and their associated metadata are not standardized, mainly since different packages are developed by different groups, focusing on different steps of the data processing pipeline. The Scipion framework, originally developed for SPA (de la Rosa-Trevín et al., 2016), has a generic python workflow engine that gives it the versatility to be extended to other fields, as demonstrated for model building (Martínez et al., 2020). In this article, we provide an extension of Scipion based on a set of tomography plugins (referred to as ScipionTomo hereafter), with a similar purpose: to allow users to be focused on the data processing and analysis instead of having to deal with multiple software installation issues and the inconvenience of switching from one to another, converting metadata files, managing possible incompatibilities, scripting (writing a simple program in a language that the computer must convert to machine language each time the program is run), etcetera. Additionally, having all the software available in an integrated platform allows comparing the results of different algorithms trying to solve the same problem. In this way, the commonalities and differences between estimated parameters shed light on which results can be more trusted than others. ScipionTomo is developed by a collaborative multidisciplinary team composed of Scipion team engineers, structural biologists, and in some cases, the developers whose software packages have been integrated. It is open to anyone in the field willing to contribute to this project. The result is a framework extension that combines the acquired knowledge of Scipion developers in close collaboration with third-party developers, and the on-demand design of functionalities requested by beta testers applying this solution to actual biological problems.

Indexed as

Electron Microscope TomographySoftwareAlgorithmsCryoelectron MicroscopyImage Processing, Computer-AssistedReproducibility of Results

Identifiers

PMID35660516
PMCPMC7613607

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Registered trials

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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.