Evidence map›Paper›PMID 17305427›Full record

ArticlePLoS pathogens2007

Yeast functional genomic screens lead to identification of a role for a bacterial effector in innate immunity regulation.

Roger W Kramer, Naomi L Slagowski, Ngozi A Eze, Kara S Giddings, Monica F Morrison, Keri A Siggers, Michael N Starnbach, Cammie F Lesser

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 99 citations in OpenAlex.

  1. Profiling Selectivity for theBiochemistry · 2026
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  2. Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. Review
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  7. Microorganisms · 2022
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  8. ThemBio · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. IdentifyingG3 (Bethesda, Md.) · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. VopE, aFrontiers in cellular and infection microbiology · 2017
    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

8 authors at 2 institutions in 1 country.

Roger W KramerDepartment of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America.
Naomi L Slagowski
Ngozi A Eze
Kara S Giddings
Monica F Morrison
Keri A Siggers
Michael N Starnbach
Cammie F Lesser
Harvard University · USMassachusetts General Hospital · US

Funding

INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Modeling mechanisms of Shigella pathogenesis in yeastR01AI064285 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LESSER, CAMMIE · 2006 to 2017
$4.0M
Novel Genetic Analyses of Shigella virulence proteinsR21AI059096 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LESSER, CAMMIE · 2005 to 2006
$635k
NIAID NIH HHS AI059096NIAID NIH HHS AI068924NIAID NIH HHS R01 AI064285NIAID NIH HHS R21 AI059096NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

Numerous bacterial pathogens manipulate host cell processes to promote infection and ultimately cause disease through the action of proteins that they directly inject into host cells. Identification of the targets and molecular mechanisms of action used by these bacterial effector proteins is critical to understanding pathogenesis. We have developed a systems biological approach using the yeast Saccharomyces cerevisiae that can expedite the identification of cellular processes targeted by bacterial effector proteins. We systematically screened the viable yeast haploid deletion strain collection for mutants hypersensitive to expression of the Shigella type III effector OspF. Statistical data mining of the results identified several cellular processes, including cell wall biogenesis, which when impaired by a deletion caused yeast to be hypersensitive to OspF expression. Microarray experiments revealed that OspF expression resulted in reversed regulation of genes regulated by the yeast cell wall integrity pathway. The yeast cell wall integrity pathway is a highly conserved mitogen-activated protein kinase (MAPK) signaling pathway, normally activated in response to cell wall perturbations. Together these results led us to hypothesize and subsequently demonstrate that OspF inhibited both yeast and mammalian MAPK signaling cascades. Furthermore, inhibition of MAPK signaling by OspF is associated with attenuation of the host innate immune response to Shigella infection in a mouse model. These studies demonstrate how yeast systems biology can facilitate functional characterization of pathogenic bacterial effector proteins.

Indexed as

Genome, FungalImmunity, InnateAnimalsBacterial ProteinsCell WallChitinDysentery, BacillaryGene Expression Regulation, BacterialMiceMice, Inbred BALB CMitogen-Activated Protein Kinase KinasesOpen Reading FramesPhenotypePhosphorylationSaccharomyces cerevisiaeShigella flexneriBacterial ProteinsChitinMitogen-Activated Protein Kinase Kinases

Identifiers

PMID17305427
PMCPMC1797620
OpenAlexW1966178508

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.