ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2025
Mechanisms and Pathological Significance of Liquid-Liquid Phase Separation in Bacteria.
Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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
5 citing papers in PubMed.
- Liquid-liquid phase separation and a phage-encoded inhibitor cooperatively drive transcriptional transition during phage SPO1 infection.Nucleic acids research · 2026Article
- Shining light on the dark proteome with unstructural biology.Current research in structural biology · 2026Article
- Beyond Resistance: Phenotypic Plasticity in Bacterial Responses to Antibiotics, Oxidative Stress and Antimicrobial Photodynamic Inactivation.Molecules (Basel, Switzerland) · 2026Review
- Correction to "Mechanisms and Pathological Significance of Liquid-Liquid Phase Separation in Bacteria".FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Mechanisms and Pathological Significance of Liquid-Liquid Phase Separation in Bacteria.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
Liquid-liquid phase separation (LLPS) has emerged as a fundamental regulatory mechanism in bacterial physiology, orchestrating essential cellular processes including gene expression, stress responses, metabolic homeostasis, and biofilm formation. This phenomenon is driven by intrinsically disordered regions (IDRs), multivalent interactions between modular domains, and dynamic protein-nucleic acid associations, with precise modulation by environmental parameters such as temperature, ionic strength, and post-translational modifications (PTMs). The resulting functional condensates confer enhanced environmental adaptability and contribute to antibiotic resistance mechanisms in bacterial populations. These assemblies further impact host-pathogen interactions through modulation of virulence factor expression and immune evasion strategies, thereby complicating infection management. This comprehensive review systematically examines the molecular mechanisms driving LLPS, its dynamic regulatory networks, and physiological functions in bacteria. We evaluate the therapeutic potential of targeting LLPS pathways for antimicrobial development, with particular emphasis on antibiotic resistance regulation and intestinal commensal colonization. Future research should elucidate the mechanistic roles of LLPS-associated biomacromolecules in bacterial physiology, characterize their assembly and disassembly dynamics, and explore their therapeutic applications to establish a theoretical foundation for innovative antimicrobial strategies.
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.