Evidence map›Paper›PMID 40175723›Full record

ArticleNature microbiology2025

Profiling Salmonella transcriptional dynamics during macrophage infection using a comprehensive reporter library.

Taylor H Nguyen, Benjamin X Wang, Oscar R Diaz, Manohary Rajendram, Joy A McKenna, Daniel S C Butler, Karsten Hokamp, Jay C D Hinton, Denise M Monack, Kerwyn Casey Huang

Abstract read
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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Microbiology spectrum · 2026
    Article
  3. Review
  4. Review
  5. Microorganisms · 2026
    Review
  6. Article
  7. Article
  8. 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

10 authors.

Taylor H Nguyen *Department of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1288-8882
Benjamin X Wang *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Oscar R Diaz *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9142-4906
Manohary RajendramDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Joy A McKennaDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6742-6511
Daniel S C ButlerDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6717-545X
Karsten HokampDepartment of Genetics, School of Genetics and Microbiology, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Jay C D HintonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0003-2671-6026
Denise M MonackDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. dmonack@stanford.edu.ORCID http://orcid.org/0000-0003-3804-2209
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA, USA. kchuang@stanford.edu.ORCID http://orcid.org/0000-0002-8043-8138

Funding

Antimicrobial Resistance and Horizontal Gene Transfer in the Human Gut Microbiome in Response to an AntibioticR01AI147023 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI RELMAN, DAVID A. · 2020 to 2024
$3.5M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) T32-AI007328-36National Science Foundation (NSF) EF-2125383National Science Foundation (NSF) IOS-2032985NIAID NIH HHS R01 AI147023U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01-AI095396U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01-AI116059Wellcome Trust (Wellcome) 222528/Z/21/Z
6 · The paper itself

Abstract

Salmonella enterica serovar Typhimurium must adapt to rapid environmental shifts, including those encountered upon entry and during replication to survive within macrophages during pathogenesis. Despite extensive RNA-seq-based investigations, questions remain regarding the range, timing and magnitude of response dynamics. Here we constructed a comprehensive GFP-reporter strain library representing 2,901 computationally identified Salmonella promoter regions to study time-resolved Salmonella transcriptional responses. Promoter activity was measured during in vitro growth and during intracellular infection of RAW 264.7 macrophages. Using bulk measurements and single-cell imaging, we uncovered condition-specific transcriptional regulation and population-level heterogeneity in SPI2-related promoter activity. We also discovered previously unidentified transcriptional activity from 234 promoters. These analyses revealed metabolic shifts including requirements for mntS expression to support manganese homeostasis and expression of Entner-Doudoroff pathway-associated genes to support growth within macrophages. Our library and datasets, made available through the online tool SalComKinetics, provide resources for systems-level interrogation of Salmonella transcriptional dynamics.

Indexed as

Gene Expression Regulation, BacterialMacrophagesSalmonella typhimuriumTranscription, GeneticAnimalsBacterial ProteinsGene Expression ProfilingGene LibraryGenes, ReporterMembrane ProteinsMicePromoter Regions, GeneticRAW 264.7 CellsSalmonella InfectionsBacterial ProteinsMembrane ProteinsSPI-2 protein, Salmonella

Identifiers

What Socratic 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 Socratic graph.