Evidence map›Paper›PMID 40913089›Full record

ArticleNature microbiology2025

Single-cell analysis of genetically minimized Salmonella reveals effector gene cooperation in vivo.

Wesley B Burford, Hrag Dilabazian, Laura T Alto, Duo Ma, Angela B Mobley, Arun Radhakrishnan, J David Farrar, Neal M Alto

Abstract read
In one paragraph

Article in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Molecular strategies ofFrontiers in cellular and infection microbiology · 2026
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Wesley B BurfordDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hrag DilabazianDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Laura T AltoDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Duo MaDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Angela B MobleyDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Arun RadhakrishnanDepartment of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
J David FarrarDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Neal M AltoDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Neal.Alto@UTSouthwestern.edu.ORCID http://orcid.org/0000-0002-7602-3853

Funding

Tissue Culture & Antibody Production CoreP01HL160487 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Helen Haskell Hobbs · 2022 to 2026
$14.9M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
Type III effector regulation of host signal transduction systemsR01AI083359 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI ALTO, NEAL MATHEW · 2009 to 2024
$6.3M
Oxysterol Regulation of Microbial PathogenesisR01AI158357 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI ALTO, NEAL MATHEW, RADHAKRISHNAN, ARUN · 2021 to 2025
$2.9M
Zeiss LSM 980 Airyscan 2 laser scanning confocal microscopeS10OD034383 · OD · UT SOUTHWESTERN MEDICAL CENTER · PI ALTO, NEAL MATHEW · 2023 to 2023
$593k
Type III effector regulation of host GTPase signalingR56AI083359 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI ALTO, NEAL MATHEW · 2014 to 2014
$452k
Burroughs Wellcome Fund (BWF) 1011019NHLBI NIH HHS P01 HL160487NIAID NIH HHS R01 AI083359NIAID NIH HHS R01 AI158357NIAID NIH HHS R56 AI083359NIDDK NIH HHS P30 DK127984NIH HHS S10 OD034383U.S. Department of Health & Human Services | National Institutes of Health (NIH) AI083359U.S. Department of Health & Human Services | National Institutes of Health (NIH) AI158357Welch Foundation I-1704Welch Foundation I-1793
6 · The paper itself

Abstract

Bacterial pathogens such as Salmonella Typhimurium (S.Tm) can deliver large repertoires of effector proteins directly into host cells. Due to the genetic and functional redundancies found in these systems, it has been difficult to determine how individual effector proteins cooperate with one another to elicit pathogenic phenotypes in vivo. To overcome this challenge, targeted genome minimization has been used to identify small effector protein networks sufficient for S.Tm colonization of complex tissues. Here we used mass cytometry to generate a comprehensive map of minimal effector network functions at single-cell resolution. This approach revealed the temporal progression of S.Tm transmission and uncovered a CD62L

Indexed as

Bacterial ProteinsSalmonella InfectionsSalmonella typhimuriumSingle-Cell AnalysisAnimalsHost-Pathogen InteractionsHumansMiceMice, Inbred C57BLMonocytesSpleenBacterial Proteins

Identifiers

PMID40913089
PMCPMC12642787

What OpenQuestion holds

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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.