The Jayaraman Lab has developed modeling for the integration of microbiome and metabolomic data to provide insights into what factors may alter the microbiota, what compositional and metabolic changes occur in the microbiota due to perturbations, and what consequences these changes have on the host’s physiology.
This is accomplished, in part, by advancing microfluidic platforms enabling co-cultures of host cells and microbiota in a physiologically accurate manner. Leveraging 16s rRNA and whole genome shotgun sequencing, this technique allows for the identification of microbiome constituents, gene expression patterns, and the assessment of perturbation-induced alterations in population dynamics.
