Elise T. Courtois

This study uses high-resolution spatial transcriptomics to map fibroblast and neuroimmune microenvironments in endometriosis lesions, identifying spatial cellular interactions linked to pain.

This study identifies immunosuppressive mechanisms in osteosarcoma using single-cell and spatial transcriptomics, revealing interactions between MDSCs, T-cells, and tumor cells that promote an immunosuppressive microenvironment.

STAMP enables low-cost, high-throughput single-cell analysis by integrating transcriptomics and proteomics imaging, supporting both single and multimodal profiling of diverse cell types.

The paper identifies host genetic factors influencing anti-PD-1 response in mice and humans by mapping QTLs and finding a core gene network with prognostic value in human tumors.

The paper identifies distinct macrophage phenotypes in endometriosis using single-cell analysis, linking them to disease-promoting and resolving functions.

Cellos is a high-throughput image analysis pipeline for 3D organoid segmentation and analysis, enabling accurate quantification of drug responses and cell interactions in cancer organoids.

This study uses single-cell transcriptomics to analyze endometriosis, identifying novel cell types and mechanisms in both eutopic and ectopic tissues.