Discovery and AI-guided mechanistic elucidation of a novel Enterobacteriaceae-specific antibiotic
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1281986 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Current clinical antibiotics are largely broad-spectrum agents that promote intestinal dysbiosis and colonisation of Enterobacteriaceae, which are often drug-resistant. Indeed, dysbiosis creates an ideal niche for adherent-invasive Escherichia coli (AIEC) in patients with inflammatory bowel disease (IBD). There is an urgent and unmet need for novel narrow-spectrum and microbiome-sparing antibiotics. Here, we screened >10,000 molecules for antibacterial activity against AIEC and discovered enterololin, an antibacterial compound with targeted activity against Enterobacteriaceae species. Molecular substructure- and deep learning-guided mechanism of action investigations revealed that enterololin perturbs lipoprotein trafficking through a mechanism involving the LolCDE complex. Moreover, enterololin can suppress an AIEC infection in mouse models, while largely preserving the overall microbiome composition. This work highlights the utility of deep learning methods for predicting molecular interactions, thereby accelerating mechanism of action elucidation of novel molecules, and identifies a promising Enterobacteriaceae-specific antibacterial candidate for further development to treat challenging infections in IBD patients.
2025-08-27 | GSE300731 | GEO
Project description:Mechanistic Model-Guided Study of Embryonic Morphogenesis
| PRJNA507443 | ENA
Project description:Single cell multiomics guided mechanistic understanding of Fontan-associated liver disease
| PRJNA928662 | ENA
Project description:AI-guided Discovery of a Paradoxical Immune Response in Fatal COVID-19 (Ileum)
| PRJNA659998 | ENA
Project description:AI-guided Discovery of a Paradoxical Immune Response in Fatal COVID-19 (Hamster)
| PRJNA659996 | ENA
Project description:AI-guided use of balanced PPARα/g dual agonist finetunes macrophage responses in inflammatory bowel disease
| PRJNA718257 | ENA
Project description:VS94 gene expression at different time-points in SAPI medium in absence and presence of AI-2 was studied. Autoinducer-2 (AI-2) is produced by many species of bacteria, including various commensal bacteria and is involved in inter-species communication. Since, pathogens encounter AI-2 once they enter the human gastro-intestinal tract; we studied the effects of presence of AI-2 on various phenotypes associated with infection and colonization of enterohemorrhagic Escherichia coli (EHEC) namely, chemotaxis, motility and attachment to HeLa cells. AI-2 attracted EHEC when observed in agarose plug assays and also increased EHEC motility by 1.44-fold. AI-2 also increased EHEC attachment to HeLa cells by 1.6-fold; hence, suggesting that exposure to AI-2 inside the gastro-intestinal tract can play an important role in EHEC colonization. We then investigated the global effects of AI-2 on EHEC gene expression using DNA microarrays at various time-points. We found that AI-2 controls virulence gene expression and several other groups of genes (flagellar genes, iron related genes, biofilm genes etc.) associated with virulence in a time-dependent manner. Hence, through these studies we have shown that AI-2 may be a key component in EHEC infection of human gastro-intestinal tract. Keywords: Time course
2008-03-21 | GSE9388 | GEO
Project description:The Enterobacteriaceae are a scientifically and medically important clade of bacteria, containing the gut commensal and model organism Escherichia coli, as well as several major human pathogens including Salmonella enterica and Klebsiella pneumoniae. Essential gene sets have been determined for several members of the Enterobacteriaceae, and the E. coli Keio single-gene deletion library is often regarded as a gold standard for gene essentiality studies. However, it remains unclear how much essential genes vary between strains and species. To investigate this, we have assembled a collection of thirteen sequenced high-density transposon mutant libraries from five genera of the Enterobacteriaceae. We first benchmark a number of gene essentiality prediction approaches, investigate the effects of transposon density on essentiality prediction, and identify biases in transposon insertion sequencing data. Based on these investigations we develop a new classifier for gene essentiality. Using gene essentiality defined by this new classifier, we define a core essential genome in the Enterobacteriaceae of 201 universally essential genes, and reconstruct an ancestral essential gene set of 296 genes. Despite the presence of a large cohort of variably essential genes, we find an absence of evidence for genus-specific essential genes. A clear example of this sporadic essentiality is given by the set of genes regulating the σE extracytoplasmic stress response, which appears to have independently become essential multiple times in the Enterobacteriaceae. Finally, we compare our essential gene sets to the natural experiment of gene loss in obligate insect endosymbionts closely related to the Enterobacteriaceae. This isolates a remarkably small set of genes absolutely required for survival, and uncovers several instances of essential stress responses masked by redundancy in free-living bacteria.
2024-08-20 | GSE216013 | GEO
Project description:Implantation is crucial for placental development which directly impacts fetal growth and pregnancy success with possible consequences on post-natal health. We postulated that early perturbations of the conceptus-maternal environment communication may alter the endometrium physiology that could account for the final reproductive outcome. Using cattle as an animal model, we compared gene expression profiles of the endometrial caruncular and intercaruncular areas during the critical period of implantation in three types of pregnancies: artificial insemination (AI), in vitro fertilization with embryo transfer (IVF-ET) or somatic cell nuclear transfer (SCNT). Less than 35% of the differentially expressed genes were found to be common between AI, IVF-ET, and SCNT conditions. Compared to AI, numerous biological functions and several canonical pathways and genes were found to be significantly affected in IVF-ET or SCNT, with a major impact on metabolism and immune function in SCNT. Our data show that the endometrium can fine-tune its physiology and could be considered as a biological sensor in response to pregnancy manipulations. Determining the limits of the endometrial plasticity should bring new insights on the contribution of the maternal compartment to the pregnancy outlet. Keywords: Fluorescence Microarray - Dye switch loop design
2009-11-01 | GSE14050 | GEO