Transcriptional REGUlation as a mediator of bacterial interactions in the microBIOME
REGUBIOME aims to elucidate transcriptional regulation in gut bacteria responses to environmental stimuli, enhancing understanding of their impact on host health and identifying targets for microbiota modulation.
Projectdetails
Introduction
Bacteria from the gut microbiota constantly interact with a range of abiotic and biotic factors. Perturbations in these factors, such as nutrient depletion or exposure to exogenous microbes, require specific bacterial responses that involve tightly controlled gene expression changes. However, the transcriptional regulation mechanisms promoting such gene expression changes remain poorly understood despite their importance.
Project Overview
REGUBIOME will characterize how responses to specific biotic and abiotic stimuli are regulated at the transcriptional level in two health-associated gut bacteria: one probiotic (Lacticaseibacillus rhamnosus) and one pathobiont (Fusobacterium nucleatum, previously linked to colorectal cancer).
Methodology
This project relies on combining experimental platforms of increasing complexity to systematically characterize the responses of these two bacteria to defined biotic and abiotic factors, and to evaluate how these responses impact host health.
High-Throughput Functional Screening Tool
- I will develop a novel high-throughput functional screening tool, coupling:
- CRISPR interference
- Microfluidic platforms for single-cell isolation
- Transcriptomic profiling of isolates
By applying this tool to in vitro monocultures, I will reconstruct the first-ever gene regulatory networks in these bacteria and identify mechanisms of response to different abiotic factors.
Microfluidic Co-Culturing
- Microfluidic co-culturing of these two strains with multiple other bacteria, coupled with metatranscriptomic profiling, will reveal the regulatory mechanisms mediating the interactions with other microbiome members.
In Vivo Work
- Lastly, in vivo work in mouse models will shed light on how the host colonic environment impacts gene expression in these health-associated bacteria.
Conclusion
Altogether, REGUBIOME will provide proof of the importance of gut bacterial gene regulation networks to host health. Besides, by uncovering gene regulatory mechanisms in microbiome bacteria, REGUBIOME will provide novel actionable targets for microbiota modulation strategies.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.496.479 |
Totale projectbegroting | € 1.497.479 |
Tijdlijn
Startdatum | 1-11-2023 |
Einddatum | 31-10-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- FUNDACION DE LA COMUNIDAD VALENCIANA CENTRO DE INVESTIGACION PRINCIPEFELIPEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Proteome-wide Functional Interrogation and Modulation of Gut Microbiome Species
This project aims to identify and manipulate gut microbiome protein functions using high-throughput proteomics to develop targeted therapies for restoring microbial health.
Deciphering commensal-host-pathogen metabolic interactions to combat intestinal infections
The GUT-CHECK project aims to elucidate the regulatory mechanisms of polysaccharide utilization loci in Bacteroides to improve understanding of host-pathogen interactions and develop RNA-based therapies for intestinal infections.
T cell regulation by fed state bacterial metabolites
This project aims to identify immunoregulatory bacterial molecules produced in response to food intake, enhancing understanding of gut microbiome tolerance mechanisms and their impact on intestinal health.
Resolving metabolic interactions between the gut microbiota and the host with multi-omics-based modelling
This project aims to systematically characterize gut bacteria interactions and their metabolic contributions to host health using experimental and computational methods, enabling targeted microbiota interventions.
Functional cartography of intestinal host-microbiome interactions
The project aims to elucidate gut microbiome-host interactions through advanced spatial profiling, predicting disease onset and identifying biomarkers for IBD and CRC.