Research project

In situ single-cell metabolic profiling of the microbiota and its control by the immune system

Project overview

Metabolic activity of bacteria is linked with increased functionality, e.g. proliferation, production of host- and microbial community-relevant metabolites. We hypothesise that metabolically active bacteria are spatially stratified and interact more actively with the host to maintain homeostasis or when perturbed contribute to disease. Host-secreted compounds and nutrient gradients contribute to differences in microbial community composition and activity in different locations. This project aims at a functional understanding of the metabolic activity landscape of the intestinal microbiome in situ at an unprecedented resolution, i.e. on the single cell level. It addresses how metabolic activity of individual microbiota shapes the microbiota as a whole and its interaction with the host and its immune system during steady state and when disturbed, for instance due to inflammation. We will use in vitro and in vivo models of immune system-microbiota interaction to decipher how the adaptive immune system via production of mucosal antibodies affects metabolic activity of distinct commensal strains and vice versa. Thus, this project will help resolve the ecological and functional interactions within the microbial community, in potentially dedicated nutritional niches and with the host in the context of homeostasis and when perturbed in chronic inflammation.

Staff

Lead researchers

Dr Fatima Pereira

Lecturer in Molecular and Cellular Biosc
Research interests
  • Gut microbiome
  • Host-microbiota crosstalk
  • Microbiome One Health model for a healthy ecosystem
Connect with Fatima

Other researchers

Professor Sumeet Mahajan MSc, MTech, PhD, FHEA, FRSC

Prof of Molecular BioPhotonics & Imaging
Research interests
  • New chemical biology methods based on Raman spectroscopy and label-free imaging
  • Methodology and device development for commercialisation and clinical translation
  • Neuro-diagnostics and early detection of dementia and neurodegenerative diseases
Connect with Sumeet

Research outputs