ArticleScientific reports2025
Analysis of stress response in multiple bacterial pathogens using a network biology approach.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Selection favors cost-ordered adaptive mutational paths in a stress-magnitude-dependent manner.EMBO reports · 2026Article
- Bioremediation potential of lead and cadmium tolerant bacteria isolated from industrial (tannery) effluents.Journal, genetic engineering & biotechnology · 2026Article
- Blue Light-Mediated Nitric Oxide-Releasing Formulation for the Multimodal Treatment of Acne Vulgaris.Advanced healthcare materials · 2026Article
- Bacterial Sentience Is Determined by the Stochastic, Chaotic, and Deterministic Behavior of Cytoplasmic Particles.Current issues in molecular biology · 2026Review
- In Silico Perturbome Analysis Reveals Conserved Genes and Drug-Target Interactions inPathogens (Basel, Switzerland) · 2026Article
- Integrative Systems-Level Transcriptomic Network Analysis Identifies Candidate Genes Associated with Biofilm Formation and Virulence inInternational journal of molecular sciences · 2026Article
- From Host-Derived Pressures to the Environmental Anti-Antimicrobial Peptides Resistome: Mechanisms, Reservoirs and Implications for Therapeutic Peptide Design.Marine drugs · 2026Review
- Real-time, high-resolution metabolic characterization of live bacteria using label-free optical metabolic imaging.NPJ biofilms and microbiomes · 2026Article
- Metabolic plasticity enables Clostridioides difficile growth in coculture with neutrophils and other mammalian cells.Anaerobe · 2025Article
- Review
- Mycobacterium tuberculosis complex Lineage 1: A neglected cause of tuberculosis.PLoS neglected tropical diseases · 2025Review
- Article
- Growth, physiology, and metabolism ofFrontiers in microbiology · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Stress response in bacterial pathogens promotes adaptation, virulence and antibiotic resistance. In this study, a network approach is applied to identify the common central mediators of stress response in five emerging opportunistic pathogens; Enterococcus faecium Aus0004, Staphylococcus aureus subsp. aureus USA300, Klebsiella pneumoniae MGH 78,578, Pseudomonas aeruginosa PAO1, and Mycobacterium tuberculosis H37Rv. A Protein-protein interaction network (PPIN) was constructed for each stressor using Cytoscape3.7.1 from the differentially expressed genes obtained from Gene expression omnibus datasets. A merged PPIN was constructed for each bacterium. Hub-bottlenecks in each network were the central stress response proteins and common pathways enriched in stress response were identified using KOBAS3.0. 31 hub-bottlenecks were common to each individual stress response, merged networks in all five pathogens and an independent cross stress (CS) response dataset of Escherichia coli. The 31 central nodes are in the RpoS mediated general stress regulon and also regulated by other stress response systems. Analysis of the 20 common metabolic pathways modulating stress response in all five bacteria showed that carbon metabolism pathway had the highest crosstalk with other pathways like amino acid biosynthesis and purine metabolism pathways. The central proteins identified can serve as targets for novel wide-spectrum antibiotics to overcome multidrug resistance.
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