Maxime M. Mahé

The paper uses single-cell transcriptomics to study EEC lineage dynamics and gene regulatory networks during intestinal development in mice and humans, finding that most EECs are specified during development independently of crypt-villus structures and microbiota.

HUMESS integrates transcriptomic data with metabolic modeling to identify condition-specific gene signatures by prioritizing genes based on metabolic significance.

This paper introduces a confined culture system to generate innervated human gut organoids that mature faster and support transplantation, enhancing engraftment and function.

This paper models host-microbiota interactions using in silico metabolic models and multi-objective optimization to predict microbial interaction types and quantify their effects on epithelial cell maintenance.