Evidence map›Paper›PMID 23382224›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Computational modeling and experimental validation of the Legionella and Coxiella virulence-related type-IVB secretion signal.

Ziv Lifshitz, David Burstein, Michael Peeri, Tal Zusman, Kierstyn Schwartz, Howard A Shuman, Tal Pupko, Gil Segal

Abstract readValidation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Molecular evolution and adaptations ofFrontiers in cellular and infection microbiology · 2026
    Review
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  6. A diverse family of bacterial deubiquitinases is defined by theProceedings of the National Academy of Sciences of the United States of America · 2025
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  7. Article
  8. Article
  9. Identification of aInfection and immunity · 2025
    Article
  10. Article
  11. Journal of bacteriology · 2024
    Review
  12. Virulence · 2024
    Article
  13. Review
  14. The multifunctionProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Ecology ofBiofilm · 2024
    Review
  16. Article
  17. Protein Sorting Prediction.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. The Sde phosphoribosyl-linked ubiquitin transferases protect theProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article

57 more citing papers are in PubMed but not listed here.

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

8 authors.

Ziv LifshitzDepartment of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.
David Burstein
Michael Peeri
Tal Zusman
Kierstyn Schwartz
Howard A Shuman
Tal Pupko
Gil Segal

Funding

Vaccines and Therapies Against BotulismU54AI057153 · NIAID · UNIVERSITY OF CHICAGO · PI SHUMAN, HOWARD A · 2003 to 2013
$87.6M
NIAID NIH HHS 1-U54-AI-057153NIAID NIH HHS U54 AI057153
6 · The paper itself

Abstract

Legionella and Coxiella are intracellular pathogens that use the virulence-related Icm/Dot type-IVB secretion system to translocate effector proteins into host cells during infection. These effectors were previously shown to contain a C-terminal secretion signal required for their translocation. In this research, we implemented a hidden semi-Markov model to characterize the amino acid composition of the signal, thus providing a comprehensive computational model for the secretion signal. This model accounts for dependencies among sites and captures spatial variation in amino acid composition along the secretion signal. To validate our model, we predicted and synthetically constructed an optimal secretion signal whose sequence is different from that of any known effector. We show that this signal efficiently translocates into host cells in an Icm/Dot-dependent manner. Additionally, we predicted in silico and experimentally examined the effects of mutations in the secretion signal, which provided innovative insights into its characteristics. Some effectors were found to lack a strong secretion signal according to our model. We demonstrated that these effectors were highly dependent on the IcmS-IcmW chaperons for their translocation, unlike effectors that harbor a strong secretion signal. Furthermore, our model is innovative because it enables searching ORFs for secretion signals on a genomic scale, which led to the identification and experimental validation of 20 effectors from Legionella pneumophila, Legionella longbeachae, and Coxiella burnetii. Our combined computational and experimental methodology is general and can be applied to the identification of a wide spectrum of protein features that lack sequence conservation but have similar amino acid characteristics.

Indexed as

Computer SimulationVirulenceAmino Acid SequenceCoxiella burnetiiGenome, BacterialLegionella pneumophilaMarkov ChainsMolecular Sequence DataProtein Transport

Identifiers

PMID23382224
PMCPMC3581968

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.