Evidence map›Paper›PMID 29555701›Full record

ArticleJournal of bacteriology2018

Esx Paralogs Are Functionally Equivalent to ESX-1 Proteins but Are Dispensable for Virulence in Mycobacterium marinum.

Rachel E Bosserman, Cristal Reyna Thompson, Kathleen R Nicholson, Patricia A Champion

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bacteriology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Protein-Mediated Virulence in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Proteo-genetic analysis reveals clear hierarchy of ESX-1 secretion inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Multiple genetic paths including massive gene amplification allowProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Review
  10. Modeling Tubercular ESX-1 Secretion Using Mycobacterium marinum.Microbiology and molecular biology reviews : MMBR · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. The Many Hosts of Mycobacteria 8 (MHM8): A conference report.Tuberculosis (Edinburgh, Scotland) · 2020
    Review
  15. Article
  16. Article
  17. Infect and Inject: HowMicrobiology spectrum · 2019
    Review
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

Rachel E BossermanDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Cristal Reyna ThompsonDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Kathleen R NicholsonDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Patricia A ChampionDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA pchampio@nd.edu.
University of Notre Dame · US

Funding

Role of N-alpha acetylation in mycobacterial secretion and virulenceR01AI106872 · NIAID · UNIVERSITY OF NOTRE DAME · PI CHAMPION, PATRICIA A · 2013 to 2024
$4.2M
NIAID NIH HHS R01 AI106872
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Bacterial ProteinsGene DuplicationHumansMycobacterium Infections, NontuberculousMycobacterium marinumVirulenceVirulence FactorsBacterial ProteinsVirulence FactorsCFP-10duplicationESX-1ESX-6gene duplicationmycobacteriatype VII secretion

Identifiers

PMID29555701
PMCPMC5952400
OpenAlexW2801475204

What OpenQuestion holds

Textmetadata
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.