ArticleMolecular bioSystems2013
Salmonella modulates metabolism during growth under conditions that induce expression of virulence genes.
Article in Molecular bioSystems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Elucidating regulatory processes of intense physical activity by multi-omics analysis.Military Medical Research · 2023Pooled it
- Molecular strategies ofFrontiers in cellular and infection microbiology · 2026Review
- Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.NPJ systems biology and applications · 2025Review
- How Bacterial Pathogens Coordinate Appetite with Virulence.Microbiology and molecular biology reviews : MMBR · 2023Review
- A pathogen-specific isotope tracing approach reveals metabolic activities and fluxes of intracellular Salmonella.PLoS biology · 2023Article
- Combined transcriptomic and metabolomic analysis of Salmonella in the presence or absence of PhoP-PhoQ system under low MgMetabolomics : Official journal of the Metabolomic Society · 2022Article
- Bulk and Spatially Resolved Extracellular Metabolome of Free-Living Nitrogen Fixation.Applied and environmental microbiology · 2022Article
- Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology.Science advances · 2022Article
- Article
- Article
- Cryptococcus neoformansmBio · 2021Article
- Remodeling of theVaccines · 2020Article
- The stringent response regulator (p) ppGpp mediates virulence gene expression and survival in Erwinia amylovora.BMC genomics · 2020Article
- Article
- NMR-Metabolomics Shows That BolA Is an Important Modulator ofMetabolites · 2019Article
- Predicting Metabolism from Gene Expression in an Improved Whole-Genome Metabolic Network Model ofZebrafish · 2019Article
- Multi-omics Signature ofmSystems · 2019Article
- Biomedical applications of genome-scale metabolic network reconstructions of human pathogens.Current opinion in biotechnology · 2018Review
- The MPLEx Protocol for Multi-omic Analyses of Soil Samples.Journal of visualized experiments : JoVE · 2018Article
- Blocking hexose entry into glycolysis activates alternative metabolic conversion of these sugars and upregulates pentose metabolism in Aspergillus nidulans.BMC genomics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 1 country.
Funding
Abstract
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative pathogen that uses complex mechanisms to invade and proliferate within mammalian host cells. To investigate possible contributions of metabolic processes to virulence in S. Typhimurium grown under conditions known to induce expression of virulence genes, we used a metabolomics-driven systems biology approach coupled with genome-scale modeling. First, we identified distinct metabolite profiles associated with bacteria grown in either rich or virulence-inducing media and report the most comprehensive coverage of the S. Typhimurium metabolome to date. Second, we applied an omics-informed genome-scale modeling analysis of the functional consequences of adaptive alterations in S. Typhimurium metabolism during growth under our conditions. Modeling efforts highlighted a decreased cellular capability to both produce and utilize intracellular amino acids during stationary phase culture in virulence conditions, despite significant abundance increases for these molecules as observed by our metabolomics measurements. Furthermore, analyses of omics data in the context of the metabolic model indicated rewiring of the metabolic network to support pathways associated with virulence. For example, cellular concentrations of polyamines were perturbed, as well as the predicted capacity for secretion and uptake.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.