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 study develops an in vitro method to generate human intestinal organoids containing multiple cell types, including neurons, endothelial cells, and smooth muscle, which functionally mimic gut physiology.

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.