Unravelling the biology of macrophage infection by gene expression profiling of intracellular Salmonella enterica
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Summary: For intracellular pathogens such as Salmonellae , Mycobacteriae and Brucellae , infection requires adaptation to the intracellular environment of the phagocytic cell . The transition from extracellular to intravacuolar environment has been expected to involve a global modulation of bacterial gene expression, but the precise events have been difficult to determine. We now report the complete transcriptional profile of intracellular Salmonella enterica sv. Typhimurium following macrophage infection. During replication in murine macrophage‐like J774‐A.1 cells, 919 of 4451 S. Typhimurium genes showed significant changes in transcription. The expression profile identified alterations in numerous virulence and SOS response genes and revealed unexpected findings concerning the biology of the Salmonella –macrophage interaction. We observed that intracellular Salmonella are not starved for amino acids or iron (Fe 2+ ), and that the intravacuolar environment is low in phosphate and magnesium but high in potassium. S. Typhimurium appears to be using the Entner–Douderoff pathway to use gluconate and related sugars as a carbon source within macrophages. Almost half the in vivo ‐regulated genes were of unknown function, suggesting that intracellular growth involves novel macrophage‐associated functions . This is the first report that identifies the whole set of in vivo‐ regulated genes for any bacterial pathogen during infection of mammalian cells .
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Salmonella typhimurium can evade degradation in the phagosome and replicate in macrophages.
“Salmonella typhimurium (S.t.), a pathogen responsible for severe food-borne illness and a major cause of diarrheal diseases [259], also can evade degradation in the phagosome and replicate in macrophages [260].”
From Functions of ROS in Macrophages and Antimicrobial Immunity (2021) · cites this paper as [260]
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- Authors
- Eriksson, S., Lucchini, S., Thompson, A., Rhen, M., & Hinton, J. C. D.
- Affiliations
- Karolinska Institutet (SE)
- Norwich Research Park (GB)
- Corresponding author
- Hinton, Jay C. D.
- ORCID
- Hinton, Jay C. D.
- Venue
- Molecular Microbiology
- Publisher
- Wiley
- Published
- 2002-12-18
- Volume
- 47
- Issue
- 1
- Pages
- 103-118
- ISSN
- 0950-382X (ISSN-L)
- 1365-2958
- OpenAlex
- W2120926466
- Cited by
- 846
- References
- 114
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 16 · 2023: 23 · 2022: 30 · 2021: 26 · 2020: 18 · 2019: 38 · 2018: 22 · 2017: 28 · 2016: 43 · 2015: 33 · 2014: 42 · 2013: 40 · 2012: 40
- FWCI
- 20.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Molecular Microbiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Swedish Foundation for International Cooperation in Research and Higher Education
- Biotechnology and Biological Sciences Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Escherichia coli research studies
- Keywords
- Salmonella typhimurium, intracellular bacterial growth, macrophage infection, bacterial gene expression, gene expression profiling, virulence genes, SOS response, Entner-Doudoroff pathway, gluconate metabolism, iron availability, amino acid availability, phosphate limitation, potassium, J774A.1 macrophages, host-pathogen interaction
- MeSH terms
- Gene Expression Regulation, Genes, Bacterial, Lipopolysaccharides, Macrophages, Transcription, Genetic, Virulence, Cell Culture Techniques, Salmonella enterica, Gene Expression Profiling, Drug Resistance, Bacterial
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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